Cyber-physical systems :: decision making mechanisms and applications /
As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of Cyber-Physical System (C...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Gistrup, Denmark :
River Publishers,
2017.
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| Schriftenreihe: | River Publishers series in circuits and systems.
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| Zusammenfassung: | As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of Cyber-Physical System (CPS). Cyber-physical systems are expected to play a major role in the design and development of future engineering platforms with new capabilities that far exceed today's levels of autonomy, functionality and usability. Although these systems exhibit remarkable characteristics, their design and implementation is a challenging issue, as numerous (heterogeneous) components and services have to be appropriately modeled and simulated together. The problem of designing efficient CPS becomes far more challenging in case the target system has to meet also real-time constraints. CyberPhysical Systems: Decision Making Mechanisms and Applications describes essential theory, recent research and large-scale usecases that addresses urgent challenges in CPS architectures. In particular, it includes chapters on: " Decision making for large scale CPS " Modeling of CPS with emphasis at the control mechanisms " Hardware/software implementation of the control mechanisms " Fault-tolerant and reliability issues for the control mechanisms " Cyberphysical user-cases that incorporate challenging decision making |
| Beschreibung: | 1 online resource |
| ISBN: | 8793609086 9788793609082 |
Internformat
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| 245 | 0 | 0 | |a Cyber-physical systems : |b decision making mechanisms and applications / |c Kostas Siozios, Dimitrios Soudris, Elias Kosmatopoulos. |
| 264 | 1 | |a Gistrup, Denmark : |b River Publishers, |c 2017. | |
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| 490 | 1 | |a River Publishers Series in Circuits and Systems | |
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| 520 | |a As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of Cyber-Physical System (CPS). Cyber-physical systems are expected to play a major role in the design and development of future engineering platforms with new capabilities that far exceed today's levels of autonomy, functionality and usability. Although these systems exhibit remarkable characteristics, their design and implementation is a challenging issue, as numerous (heterogeneous) components and services have to be appropriately modeled and simulated together. The problem of designing efficient CPS becomes far more challenging in case the target system has to meet also real-time constraints. CyberPhysical Systems: Decision Making Mechanisms and Applications describes essential theory, recent research and large-scale usecases that addresses urgent challenges in CPS architectures. In particular, it includes chapters on: " Decision making for large scale CPS " Modeling of CPS with emphasis at the control mechanisms " Hardware/software implementation of the control mechanisms " Fault-tolerant and reliability issues for the control mechanisms " Cyberphysical user-cases that incorporate challenging decision making | ||
| 505 | 0 | 0 | |g Machine generated contents note: |g 1. |t Overview of Emerging Systems-Related Concepts, Approaches and Technologies Unifying and Advancing S & T Achievements of the Past Decades (e.g. CPS, IoT, I2oT, SoS/E, 5G and Cross-Cutting Decision Making) / |r Alkis Konstantellos -- |g 1.1. |t Introduction -- |g 1.1.1. |t Key Survey, Review, Reference Publications and Textbooks -- |g 1.1.2. |t Motivating Example: Air Traffic Management and Collision Avoidance Systems -- |g 1.1.3. |t Success and Failure of Contemporary Systems -- |g 1.2. |t System, Model(s), Many Systems and Their Characterisation -- |g 1.2.1. |t What Is a General System? -- |g 1.2.1.1. |t One system -- |g 1.2.1.2. |t Many systems in an environment -- |g 1.2.2. |t System Characterisations -- Elementary Abstractions -- |g 1.2.2.1. |t Characterisation through fundamental attributes -- |g 1.2.2.2. |t Characterisation according to the nature of a system -- |g 1.2.2.3. |t intuitive characterisation-profiling scheme for systems -- |g 1.3. |t Specific Systems Classification in Established R & D-S & T Databases -- |g 1.3.1. |t Condensed Outline-Definitions of the New Topics and Initiatives -- |g 1.3.2. |t Sciences, Technologies, Industry and Related Communities -- |g 1.4. |t Evolutionary Paths towards (CPS, IoT, SoS/E) and (Ind 4, Soc 5.0) -- |g 1.4.1. |t S & T Paths Jointly Leading to CPS -- |g 1.4.2. |t S & T Paths Jointly Leading to IoT -- |g 1.4.3. |t S & T Paths Jointly Leading to SoS/SoSE and Independently to Industry 4.0 -- |g 1.5. |t CPS in More Detail: Definitions, Challenges, Debates and Synergies -- |g 1.5.1. |t Introductory Examples -- |g 1.5.2. |t Success of the Term CPS and Its "Externalities" -- |g 1.5.3. |t CPS -- Definitions -- |g 1.5.4. |t What Is Not a CPS? -- |g 1.5.5. |t Same System Can Be Viewed under Different Perspectives and Modelled through Different Methods -- |g 1.5.6. |t Boundaries between Cyber and Physical Parts of a CPS System -- |g 1.5.7. |t Cascading & Nesting of Multiple Cyber, Physical and Complete CPS -- |g 1.5.8. |t Simple Classification-Profiling Tool for CPS -- |g 1.5.9. |t CPS vs. IoT -- |g 1.5.10. |t CPS vs. |
| 505 | 0 | 0 | |t ICT (Information and Communication Technologies) -- |g 1.5.11. |t Examples of CPS Challenges and Some R & D Directions -- |g 1.6. |t IoT in More Detail and the 5G Mobile Technologies -- |g 1.6.1. |t IoT Applications and Benefits -- Internet of Everything -- |g 1.6.2. |t On the IoT Definition -- |g 1.6.3. |t Industry Views on IoT and the Industrial IoT (I2oT) by the 12 Consortium -- |g 1.6.4. |t 5th Generation Mobile Technologies (Expected around 2020) -- |g 1.7. |t System of Systems (SoS) and SoS Engineering (SoSE) -- More Details -- |g 1.7.1. |t System of Systems Examples -- |g 1.7.2. |t Dahmann and Baldwin Types of SoS -- |g 1.7.3. |t Large Scale Systems, Complexity and (Old and New) Cybernetics -- |g 1.8. |t Decision Making: Definitions, Examples, Methods, Interactions with System Design -- |g 1.8.1. |t Scientific, Engineering Aspects -- Machine and Human Decision Making (DM) -- |g 1.8.2. |t Definitions and Basic Considerations -- |g 1.8.3. |t Motivating DM Example: Football Goal Line Technology -- |g 1.8.4. |t Industrial Examples -- |g 1.8.4.1. |t Same decision making challenges in different industries -- |g 1.8.4.2. |t Elementary process automation DM -- Decidability cases -- |g 1.8.4.3. |t Decision making and processes in large scale Collision Avoidance systems (CA) -- |g 1.8.4.4. |t Consensus based methods, majority and supermajority voting -- |g 1.8.4.5. |t Human in the loop (HitL) -- |g 1.8.5. |t Sequential Process, CPS and Decision Making -- |g 1.8.5.1. |t General -- |g 1.8.5.2. |t Sequential process examples -- |g 1.9. |t Requirements Engineering and Technology Maturity Levels -- |g 1.9.1. |t Requirements Engineering -- |g 1.9.2. |t Is TRL Sufficient for CPS and SoS/E? -- |g 1.10. |t System of the Future (SoF) -- Food for Thought -- |g 1.10.1. |t Dreams and Visions of the Systems R & D Communities -- |g 1.10.2. |t System of the Future (SoF) -- |g 1.10.3. |t Further Examples of Systems Topics for Future R & D Activities -- |g 1.11. |t Concluding Remarks -- |g 1.12. |t Summary -- |t Acknowledgment -- |t References -- |g 2. |t On Designing Decision-Making Mechanisms for Cyber-Physical Systems / |r Elias Kosmatopoulos -- |g 2.1. |t Introduction -- |g 2.2. |t Related Work for Designing CPS Platforms -- |g 2.3. |t Conclusions -- |t References -- |g 3. |t Design Space Exploration Methodology Based on Decision Trees for Cyber-Physical Systems / |r Dimitrios Soudris -- |g 3.1. |t Methodology -- |g 3.1.1. |t Design Options -- |g 3.1.2. |t Constraints -- |g 3.1.3. |t Interdependencies -- |g 3.1.4. |t Methodology Flow -- |g 3.2. |t Demonstration of the Methodology -- |g 3.2.1. |t DSE on Concurrent Data Structures -- |g 3.2.2. |t DSE on Multiway Streaming Aggregation -- |g 3.3. |t Conclusion -- |t References -- |g 4. |t PReDiCt: A Scenario-based Methodology for Realizing Decision-Making Mechanisms Targeting Cyber-Physical Systems / |r Dimitrios Soudris -- |g 4.1. |t PReDiCt Framework -- |g 4.1.1. |t Step 1: Requirements -- |g 4.1.2. |t Step 2: System Design -- |g 4.1.3. |t Step 3: System Modeling -- |g 4.1.4. |t Step 4: Run-Time Situation (RTS) Definition -- |g 4.1.5. |t Step 5: Scenario Clustering -- |g 4.1.6. |t Step 6: Decision Making -- |g 4.1.7. |t Step 7: System Verification -- |g 4.2. |t Employed Use Case -- |g 4.2.1. |t Applying the Proposed Framework -- |g 4.3. |t Experimental Results -- |g 4.3.1. |t Hardware Implementation of Decision Making -- |g 4.4. |t Conclusion -- |t References -- |g 5. |t Studying Fault Tolerance Aspects / |r Kostas Siozios -- |g 5.1. |t Introduction -- |g 5.2. |t Definition of Faults and Fault-Tolerance -- |g 5.3. |t Overview of Wear-out Mechanisms -- |g 5.4. |t Classication of Faults -- |g 5.5. |t Countermeasures for a Fault-Tolerant System -- |g 5.5.1. |t Fault Avoidance -- |g 5.5.2. |t Fault Detection -- |g 5.5.3. |t Containment -- |g 5.5.4. |t Isolation -- |g 5.5.5. |t Recovery -- |g 5.6. |t Improving Fault Masking with Redundancy -- |g 5.7. |t Fault Forecasting -- |g 5.8. |t Conclusion -- |t References -- |g 6. |t Framework for Research and Prototyping in Robotics: From Ideas to Software and Hardware Development / |r Evangelos Papadopoulos -- |g 6.1. |t Introduction -- |g 6.2. |t Framework for Simulation and Prototyping -- |g 6.2.1. |t Modeling, Dynamics, and Simulation -- |g 6.2.1.1. |t Dynamics derivation and simulation methods -- |g 6.2.1.2. |t Modeling the environment -- |g 6.2.2. |t System Development: Hardware and Software -- |g 6.2.2.1. |t Introduction -- |g 6.2.2.2. |t automation pyramid -- |g 6.2.2.3. |t OSI model and Media Access Control (MAC) methods -- |g 6.2.2.4. |t Networked Control System design -- |g 6.2.2.5. |t Switched Ethernet and determinism -- |g 6.2.2.6. |t Quality of Service (QoS) -- |g 6.2.2.7. |t Latency in switched Ethernet -- |g 6.2.2.8. |t Message exchange using Ethernet, IP, and UDP -- |g 6.2.2.9. |t Network layer: The Internet Protocol -- |g 6.2.2.10. |t Transport layer: The User Datagram Protocol -- |g 6.2.2.11. |t Application layer -- |g 6.2.2.12. |t Software design for the MCU node -- |g 6.2.2.13. |t Software design for the ROS computer -- |g 6.3. |t Application Experiments -- |g 6.3.1. |t Treadmill Control -- |g 6.3.1.1. |t System description -- |g 6.3.1.2. |t Software design: MCU side -- |g 6.3.1.3. |t Software design: ROS side -- |g 6.3.1.4. |t Hardware experiment -- |g 6.3.2. |t Single Actuated Hopping Robot (SAHR) -- |g 6.3.2.1. |t Robot description -- |g 6.3.2.2. |t Software design: MCU side -- |g 6.3.2.3. |t Software design: ROS side -- |g 6.3.2.4. |t Simulation experiment -- |g 6.3.2.5. |t Hardware experiment -- |g 6.3.2.6. |t Simulations on interactions with terrains -- |g 6.4. |t Conclusions -- |t Acknowledgment -- |t References -- |g 7. |t Modeling Control Mechanisms in MATLAB / |r Kostas Siozios -- |g 7.1. |t Introduction -- |g 7.2. |t MATLAB Control System Toolbox -- |g 7.3. |t Overview of Commands for the Control System Toolbox -- |g 7.4. |t Examples of Designing Control Systems at MATLAB -- |g 7.4.1. |t Example 7.1 -- |g 7.4.2. |t Example 7.2 -- |g 7.4.3. |t Example 7.3 -- |g 7.4.4. |t Example 7.4 -- |g 7.4.5. |t Example 7.5 -- |g 7.4.6. |t Example 7.6 -- |g 7.4.7. |t Example 7.7 -- |g 7.4.8. |t Example 7.8 -- |g 7.4.9. |t Example 7.9 -- |g 7.4.10. |t Example 7.10 -- |g 7.4.11. |t Example 7.11 -- |g 7.4.12. |t Example 7.12 -- |g 7.4.13. |t Example 7.13 -- |g 7.4.14. |t Example 7.14 -- |g 7.4.15. |t Example 7.15 -- |g 7.4.16. |t Example 7.16 -- |g 7.4.17. |t Example 7.17 -- |g 7.4.18. |t Example 7.18 -- |g 8. |t Overview of R & D Projects and Support Actions in Relevant Topics / |r Alkis Konstantellos -- |g 8.1. |t Road-Mapping Projects on CPS, IoT, SoS, Combined CPS -- SoS and Related Technologies -- |g 8.2. |t Systems Related Foundations and Novel Concepts -- |g 8.3. |t Cross-Layer Programming -- |g 8.4. |t Systems of Systems and CPS -- |g 8.5. |t Control and Optimization in CPS and SoS -- |g 8.6. |t CPS Modeling, Design, Methods, and Tools -- |g 8.7. |t CPS Security, Safety, Trust, and Testing -- |g 8.8. |t CPS Verification -- |g 8.9. |t CPS Platforms -- |g 8.10. |t CPS and Manufacturing -- |g 8.11. |t Industry 4.0 and CPS -- |g 8.12. |t IoT and Underpinning Challenges -- |g 8.13. |t International Cooperation -- Examples -- |g 8.14. |t Decision Making (Methods Applied) -- |g 8.15. |t Decision Processes -- Human in the Loop -- |g 8.16. |t Collision Avoidance (CA) Including ACAS-X -- |g 8.17. |t Concluding Comments -- |t Acknowledgment -- |t References. |
| 650 | 0 | |a Cooperating objects (Computer systems) |x Decision making. | |
| 650 | 6 | |a Objets coopérants (Systèmes informatiques) |x Prise de décision. | |
| 700 | 1 | |a Siozios, Kostas, |e editor. | |
| 700 | 1 | |a Soudris, Dimitrios, |d 1964- |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjHtQwBB6YtYqkHGDKwQv3 |0 http://id.loc.gov/authorities/names/n00006203 | |
| 700 | 1 | |a Kosmatopoulos, Elias, |e editor. | |
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| 776 | 0 | 8 | |i Print version: |a Siozios, Kostas. |t CyberPhysical Systems: Decision Making Mechanisms and Applications. |d Aalborg : River Publishers, ©2017 |z 9788793609099 |
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Datensatz im Suchindex
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| author2 | Siozios, Kostas Soudris, Dimitrios, 1964- Kosmatopoulos, Elias |
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| author_GND | http://id.loc.gov/authorities/names/n00006203 |
| author_additional | Alkis Konstantellos -- Elias Kosmatopoulos -- Dimitrios Soudris -- Kostas Siozios -- Evangelos Papadopoulos -- |
| author_facet | Siozios, Kostas Soudris, Dimitrios, 1964- Kosmatopoulos, Elias |
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| contents | Overview of Emerging Systems-Related Concepts, Approaches and Technologies Unifying and Advancing S & T Achievements of the Past Decades (e.g. CPS, IoT, I2oT, SoS/E, 5G and Cross-Cutting Decision Making) / Introduction -- Key Survey, Review, Reference Publications and Textbooks -- Motivating Example: Air Traffic Management and Collision Avoidance Systems -- Success and Failure of Contemporary Systems -- System, Model(s), Many Systems and Their Characterisation -- What Is a General System? -- One system -- Many systems in an environment -- System Characterisations -- Elementary Abstractions -- Characterisation through fundamental attributes -- Characterisation according to the nature of a system -- intuitive characterisation-profiling scheme for systems -- Specific Systems Classification in Established R & D-S & T Databases -- Condensed Outline-Definitions of the New Topics and Initiatives -- Sciences, Technologies, Industry and Related Communities -- Evolutionary Paths towards (CPS, IoT, SoS/E) and (Ind 4, Soc 5.0) -- S & T Paths Jointly Leading to CPS -- S & T Paths Jointly Leading to IoT -- S & T Paths Jointly Leading to SoS/SoSE and Independently to Industry 4.0 -- CPS in More Detail: Definitions, Challenges, Debates and Synergies -- Introductory Examples -- Success of the Term CPS and Its "Externalities" -- CPS -- Definitions -- What Is Not a CPS? -- Same System Can Be Viewed under Different Perspectives and Modelled through Different Methods -- Boundaries between Cyber and Physical Parts of a CPS System -- Cascading & Nesting of Multiple Cyber, Physical and Complete CPS -- Simple Classification-Profiling Tool for CPS -- CPS vs. IoT -- CPS vs. ICT (Information and Communication Technologies) -- Examples of CPS Challenges and Some R & D Directions -- IoT in More Detail and the 5G Mobile Technologies -- IoT Applications and Benefits -- Internet of Everything -- On the IoT Definition -- Industry Views on IoT and the Industrial IoT (I2oT) by the 12 Consortium -- 5th Generation Mobile Technologies (Expected around 2020) -- System of Systems (SoS) and SoS Engineering (SoSE) -- More Details -- System of Systems Examples -- Dahmann and Baldwin Types of SoS -- Large Scale Systems, Complexity and (Old and New) Cybernetics -- Decision Making: Definitions, Examples, Methods, Interactions with System Design -- Scientific, Engineering Aspects -- Machine and Human Decision Making (DM) -- Definitions and Basic Considerations -- Motivating DM Example: Football Goal Line Technology -- Industrial Examples -- Same decision making challenges in different industries -- Elementary process automation DM -- Decidability cases -- Decision making and processes in large scale Collision Avoidance systems (CA) -- Consensus based methods, majority and supermajority voting -- Human in the loop (HitL) -- Sequential Process, CPS and Decision Making -- General -- Sequential process examples -- Requirements Engineering and Technology Maturity Levels -- Requirements Engineering -- Is TRL Sufficient for CPS and SoS/E? -- System of the Future (SoF) -- Food for Thought -- Dreams and Visions of the Systems R & D Communities -- System of the Future (SoF) -- Further Examples of Systems Topics for Future R & D Activities -- Concluding Remarks -- Summary -- Acknowledgment -- References -- On Designing Decision-Making Mechanisms for Cyber-Physical Systems / Related Work for Designing CPS Platforms -- Conclusions -- Design Space Exploration Methodology Based on Decision Trees for Cyber-Physical Systems / Methodology -- Design Options -- Constraints -- Interdependencies -- Methodology Flow -- Demonstration of the Methodology -- DSE on Concurrent Data Structures -- DSE on Multiway Streaming Aggregation -- Conclusion -- PReDiCt: A Scenario-based Methodology for Realizing Decision-Making Mechanisms Targeting Cyber-Physical Systems / PReDiCt Framework -- Step 1: Requirements -- Step 2: System Design -- Step 3: System Modeling -- Step 4: Run-Time Situation (RTS) Definition -- Step 5: Scenario Clustering -- Step 6: Decision Making -- Step 7: System Verification -- Employed Use Case -- Applying the Proposed Framework -- Experimental Results -- Hardware Implementation of Decision Making -- Studying Fault Tolerance Aspects / Definition of Faults and Fault-Tolerance -- Overview of Wear-out Mechanisms -- Classication of Faults -- Countermeasures for a Fault-Tolerant System -- Fault Avoidance -- Fault Detection -- Containment -- Isolation -- Recovery -- Improving Fault Masking with Redundancy -- Fault Forecasting -- Framework for Research and Prototyping in Robotics: From Ideas to Software and Hardware Development / Framework for Simulation and Prototyping -- Modeling, Dynamics, and Simulation -- Dynamics derivation and simulation methods -- Modeling the environment -- System Development: Hardware and Software -- automation pyramid -- OSI model and Media Access Control (MAC) methods -- Networked Control System design -- Switched Ethernet and determinism -- Quality of Service (QoS) -- Latency in switched Ethernet -- Message exchange using Ethernet, IP, and UDP -- Network layer: The Internet Protocol -- Transport layer: The User Datagram Protocol -- Application layer -- Software design for the MCU node -- Software design for the ROS computer -- Application Experiments -- Treadmill Control -- System description -- Software design: MCU side -- Software design: ROS side -- Hardware experiment -- Single Actuated Hopping Robot (SAHR) -- Robot description -- Simulation experiment -- Simulations on interactions with terrains -- Modeling Control Mechanisms in MATLAB / MATLAB Control System Toolbox -- Overview of Commands for the Control System Toolbox -- Examples of Designing Control Systems at MATLAB -- Example 7.1 -- Example 7.2 -- Example 7.3 -- Example 7.4 -- Example 7.5 -- Example 7.6 -- Example 7.7 -- Example 7.8 -- Example 7.9 -- Example 7.10 -- Example 7.11 -- Example 7.12 -- Example 7.13 -- Example 7.14 -- Example 7.15 -- Example 7.16 -- Example 7.17 -- Example 7.18 -- Overview of R & D Projects and Support Actions in Relevant Topics / Road-Mapping Projects on CPS, IoT, SoS, Combined CPS -- SoS and Related Technologies -- Systems Related Foundations and Novel Concepts -- Cross-Layer Programming -- Systems of Systems and CPS -- Control and Optimization in CPS and SoS -- CPS Modeling, Design, Methods, and Tools -- CPS Security, Safety, Trust, and Testing -- CPS Verification -- CPS Platforms -- CPS and Manufacturing -- Industry 4.0 and CPS -- IoT and Underpinning Challenges -- International Cooperation -- Examples -- Decision Making (Methods Applied) -- Decision Processes -- Human in the Loop -- Collision Avoidance (CA) Including ACAS-X -- Concluding Comments -- References. |
| ctrlnum | (OCoLC)1015876600 |
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| dewey-ones | 003 - Systems |
| dewey-raw | 003/.56 |
| dewey-search | 003/.56 |
| dewey-sort | 13 256 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>12730cam a2200529 i 4500</leader><controlfield tag="001">ZDB-4-EBA-on1015876600</controlfield><controlfield tag="003">OCoLC</controlfield><controlfield tag="005">20241004212047.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">171223s2017 dk ob 001 0 eng d</controlfield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">EBLCP</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="e">pn</subfield><subfield code="c">EBLCP</subfield><subfield code="d">MERUC</subfield><subfield code="d">CUI</subfield><subfield code="d">OCLCO</subfield><subfield code="d">CUI</subfield><subfield code="d">YDX</subfield><subfield code="d">IDB</subfield><subfield code="d">INT</subfield><subfield code="d">IUL</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">LVT</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">UKAHL</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">N$T</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">SFB</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCL</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">1015243957</subfield><subfield code="a">1020254484</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">8793609086</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9788793609082</subfield><subfield code="q">(electronic bk.)</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">8793609094</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9788793609099</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1015876600</subfield><subfield code="z">(OCoLC)1015243957</subfield><subfield code="z">(OCoLC)1020254484</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">TJ213.75</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">003/.56</subfield><subfield code="2">23</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">MAIN</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Cyber-physical systems :</subfield><subfield code="b">decision making mechanisms and applications /</subfield><subfield code="c">Kostas Siozios, Dimitrios Soudris, Elias Kosmatopoulos.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Gistrup, Denmark :</subfield><subfield code="b">River Publishers,</subfield><subfield code="c">2017.</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">River Publishers Series in Circuits and Systems</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Print version record.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of Cyber-Physical System (CPS). Cyber-physical systems are expected to play a major role in the design and development of future engineering platforms with new capabilities that far exceed today's levels of autonomy, functionality and usability. Although these systems exhibit remarkable characteristics, their design and implementation is a challenging issue, as numerous (heterogeneous) components and services have to be appropriately modeled and simulated together. The problem of designing efficient CPS becomes far more challenging in case the target system has to meet also real-time constraints. CyberPhysical Systems: Decision Making Mechanisms and Applications describes essential theory, recent research and large-scale usecases that addresses urgent challenges in CPS architectures. In particular, it includes chapters on: " Decision making for large scale CPS " Modeling of CPS with emphasis at the control mechanisms " Hardware/software implementation of the control mechanisms " Fault-tolerant and reliability issues for the control mechanisms " Cyberphysical user-cases that incorporate challenging decision making</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="g">Machine generated contents note:</subfield><subfield code="g">1.</subfield><subfield code="t">Overview of Emerging Systems-Related Concepts, Approaches and Technologies Unifying and Advancing S & T Achievements of the Past Decades (e.g. CPS, IoT, I2oT, SoS/E, 5G and Cross-Cutting Decision Making) /</subfield><subfield code="r">Alkis Konstantellos --</subfield><subfield code="g">1.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">1.1.1.</subfield><subfield code="t">Key Survey, Review, Reference Publications and Textbooks --</subfield><subfield code="g">1.1.2.</subfield><subfield code="t">Motivating Example: Air Traffic Management and Collision Avoidance Systems --</subfield><subfield code="g">1.1.3.</subfield><subfield code="t">Success and Failure of Contemporary Systems --</subfield><subfield code="g">1.2.</subfield><subfield code="t">System, Model(s), Many Systems and Their Characterisation --</subfield><subfield code="g">1.2.1.</subfield><subfield code="t">What Is a General System? --</subfield><subfield code="g">1.2.1.1.</subfield><subfield code="t">One system --</subfield><subfield code="g">1.2.1.2.</subfield><subfield code="t">Many systems in an environment --</subfield><subfield code="g">1.2.2.</subfield><subfield code="t">System Characterisations -- Elementary Abstractions --</subfield><subfield code="g">1.2.2.1.</subfield><subfield code="t">Characterisation through fundamental attributes --</subfield><subfield code="g">1.2.2.2.</subfield><subfield code="t">Characterisation according to the nature of a system --</subfield><subfield code="g">1.2.2.3.</subfield><subfield code="t">intuitive characterisation-profiling scheme for systems --</subfield><subfield code="g">1.3.</subfield><subfield code="t">Specific Systems Classification in Established R & D-S & T Databases --</subfield><subfield code="g">1.3.1.</subfield><subfield code="t">Condensed Outline-Definitions of the New Topics and Initiatives --</subfield><subfield code="g">1.3.2.</subfield><subfield code="t">Sciences, Technologies, Industry and Related Communities --</subfield><subfield code="g">1.4.</subfield><subfield code="t">Evolutionary Paths towards (CPS, IoT, SoS/E) and (Ind 4, Soc 5.0) --</subfield><subfield code="g">1.4.1.</subfield><subfield code="t">S & T Paths Jointly Leading to CPS --</subfield><subfield code="g">1.4.2.</subfield><subfield code="t">S & T Paths Jointly Leading to IoT --</subfield><subfield code="g">1.4.3.</subfield><subfield code="t">S & T Paths Jointly Leading to SoS/SoSE and Independently to Industry 4.0 --</subfield><subfield code="g">1.5.</subfield><subfield code="t">CPS in More Detail: Definitions, Challenges, Debates and Synergies --</subfield><subfield code="g">1.5.1.</subfield><subfield code="t">Introductory Examples --</subfield><subfield code="g">1.5.2.</subfield><subfield code="t">Success of the Term CPS and Its "Externalities" --</subfield><subfield code="g">1.5.3.</subfield><subfield code="t">CPS -- Definitions --</subfield><subfield code="g">1.5.4.</subfield><subfield code="t">What Is Not a CPS? --</subfield><subfield code="g">1.5.5.</subfield><subfield code="t">Same System Can Be Viewed under Different Perspectives and Modelled through Different Methods --</subfield><subfield code="g">1.5.6.</subfield><subfield code="t">Boundaries between Cyber and Physical Parts of a CPS System --</subfield><subfield code="g">1.5.7.</subfield><subfield code="t">Cascading & Nesting of Multiple Cyber, Physical and Complete CPS --</subfield><subfield code="g">1.5.8.</subfield><subfield code="t">Simple Classification-Profiling Tool for CPS --</subfield><subfield code="g">1.5.9.</subfield><subfield code="t">CPS vs. IoT --</subfield><subfield code="g">1.5.10.</subfield><subfield code="t">CPS vs.</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">ICT (Information and Communication Technologies) --</subfield><subfield code="g">1.5.11.</subfield><subfield code="t">Examples of CPS Challenges and Some R & D Directions --</subfield><subfield code="g">1.6.</subfield><subfield code="t">IoT in More Detail and the 5G Mobile Technologies --</subfield><subfield code="g">1.6.1.</subfield><subfield code="t">IoT Applications and Benefits -- Internet of Everything --</subfield><subfield code="g">1.6.2.</subfield><subfield code="t">On the IoT Definition --</subfield><subfield code="g">1.6.3.</subfield><subfield code="t">Industry Views on IoT and the Industrial IoT (I2oT) by the 12 Consortium --</subfield><subfield code="g">1.6.4.</subfield><subfield code="t">5th Generation Mobile Technologies (Expected around 2020) --</subfield><subfield code="g">1.7.</subfield><subfield code="t">System of Systems (SoS) and SoS Engineering (SoSE) -- More Details --</subfield><subfield code="g">1.7.1.</subfield><subfield code="t">System of Systems Examples --</subfield><subfield code="g">1.7.2.</subfield><subfield code="t">Dahmann and Baldwin Types of SoS --</subfield><subfield code="g">1.7.3.</subfield><subfield code="t">Large Scale Systems, Complexity and (Old and New) Cybernetics --</subfield><subfield code="g">1.8.</subfield><subfield code="t">Decision Making: Definitions, Examples, Methods, Interactions with System Design --</subfield><subfield code="g">1.8.1.</subfield><subfield code="t">Scientific, Engineering Aspects -- Machine and Human Decision Making (DM) --</subfield><subfield code="g">1.8.2.</subfield><subfield code="t">Definitions and Basic Considerations --</subfield><subfield code="g">1.8.3.</subfield><subfield code="t">Motivating DM Example: Football Goal Line Technology --</subfield><subfield code="g">1.8.4.</subfield><subfield code="t">Industrial Examples --</subfield><subfield code="g">1.8.4.1.</subfield><subfield code="t">Same decision making challenges in different industries --</subfield><subfield code="g">1.8.4.2.</subfield><subfield code="t">Elementary process automation DM -- Decidability cases --</subfield><subfield code="g">1.8.4.3.</subfield><subfield code="t">Decision making and processes in large scale Collision Avoidance systems (CA) --</subfield><subfield code="g">1.8.4.4.</subfield><subfield code="t">Consensus based methods, majority and supermajority voting --</subfield><subfield code="g">1.8.4.5.</subfield><subfield code="t">Human in the loop (HitL) --</subfield><subfield code="g">1.8.5.</subfield><subfield code="t">Sequential Process, CPS and Decision Making --</subfield><subfield code="g">1.8.5.1.</subfield><subfield code="t">General --</subfield><subfield code="g">1.8.5.2.</subfield><subfield code="t">Sequential process examples --</subfield><subfield code="g">1.9.</subfield><subfield code="t">Requirements Engineering and Technology Maturity Levels --</subfield><subfield code="g">1.9.1.</subfield><subfield code="t">Requirements Engineering --</subfield><subfield code="g">1.9.2.</subfield><subfield code="t">Is TRL Sufficient for CPS and SoS/E? --</subfield><subfield code="g">1.10.</subfield><subfield code="t">System of the Future (SoF) -- Food for Thought --</subfield><subfield code="g">1.10.1.</subfield><subfield code="t">Dreams and Visions of the Systems R & D Communities --</subfield><subfield code="g">1.10.2.</subfield><subfield code="t">System of the Future (SoF) --</subfield><subfield code="g">1.10.3.</subfield><subfield code="t">Further Examples of Systems Topics for Future R & D Activities --</subfield><subfield code="g">1.11.</subfield><subfield code="t">Concluding Remarks --</subfield><subfield code="g">1.12.</subfield><subfield code="t">Summary --</subfield><subfield code="t">Acknowledgment --</subfield><subfield code="t">References --</subfield><subfield code="g">2.</subfield><subfield code="t">On Designing Decision-Making Mechanisms for Cyber-Physical Systems /</subfield><subfield code="r">Elias Kosmatopoulos --</subfield><subfield code="g">2.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">2.2.</subfield><subfield code="t">Related Work for Designing CPS Platforms --</subfield><subfield code="g">2.3.</subfield><subfield code="t">Conclusions --</subfield><subfield code="t">References --</subfield><subfield code="g">3.</subfield><subfield code="t">Design Space Exploration Methodology Based on Decision Trees for Cyber-Physical Systems /</subfield><subfield code="r">Dimitrios Soudris --</subfield><subfield code="g">3.1.</subfield><subfield code="t">Methodology --</subfield><subfield code="g">3.1.1.</subfield><subfield code="t">Design Options --</subfield><subfield code="g">3.1.2.</subfield><subfield code="t">Constraints --</subfield><subfield code="g">3.1.3.</subfield><subfield code="t">Interdependencies --</subfield><subfield code="g">3.1.4.</subfield><subfield code="t">Methodology Flow --</subfield><subfield code="g">3.2.</subfield><subfield code="t">Demonstration of the Methodology --</subfield><subfield code="g">3.2.1.</subfield><subfield code="t">DSE on Concurrent Data Structures --</subfield><subfield code="g">3.2.2.</subfield><subfield code="t">DSE on Multiway Streaming Aggregation --</subfield><subfield code="g">3.3.</subfield><subfield code="t">Conclusion --</subfield><subfield code="t">References --</subfield><subfield code="g">4.</subfield><subfield code="t">PReDiCt: A Scenario-based Methodology for Realizing Decision-Making Mechanisms Targeting Cyber-Physical Systems /</subfield><subfield code="r">Dimitrios Soudris --</subfield><subfield code="g">4.1.</subfield><subfield code="t">PReDiCt Framework --</subfield><subfield code="g">4.1.1.</subfield><subfield code="t">Step 1: Requirements --</subfield><subfield code="g">4.1.2.</subfield><subfield code="t">Step 2: System Design --</subfield><subfield code="g">4.1.3.</subfield><subfield code="t">Step 3: System Modeling --</subfield><subfield code="g">4.1.4.</subfield><subfield code="t">Step 4: Run-Time Situation (RTS) Definition --</subfield><subfield code="g">4.1.5.</subfield><subfield code="t">Step 5: Scenario Clustering --</subfield><subfield code="g">4.1.6.</subfield><subfield code="t">Step 6: Decision Making --</subfield><subfield code="g">4.1.7.</subfield><subfield code="t">Step 7: System Verification --</subfield><subfield code="g">4.2.</subfield><subfield code="t">Employed Use Case --</subfield><subfield code="g">4.2.1.</subfield><subfield code="t">Applying the Proposed Framework --</subfield><subfield code="g">4.3.</subfield><subfield code="t">Experimental Results --</subfield><subfield code="g">4.3.1.</subfield><subfield code="t">Hardware Implementation of Decision Making --</subfield><subfield code="g">4.4.</subfield><subfield code="t">Conclusion --</subfield><subfield code="t">References --</subfield><subfield code="g">5.</subfield><subfield code="t">Studying Fault Tolerance Aspects /</subfield><subfield code="r">Kostas Siozios --</subfield><subfield code="g">5.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">5.2.</subfield><subfield code="t">Definition of Faults and Fault-Tolerance --</subfield><subfield code="g">5.3.</subfield><subfield code="t">Overview of Wear-out Mechanisms --</subfield><subfield code="g">5.4.</subfield><subfield code="t">Classication of Faults --</subfield><subfield code="g">5.5.</subfield><subfield code="t">Countermeasures for a Fault-Tolerant System --</subfield><subfield code="g">5.5.1.</subfield><subfield code="t">Fault Avoidance --</subfield><subfield code="g">5.5.2.</subfield><subfield code="t">Fault Detection --</subfield><subfield code="g">5.5.3.</subfield><subfield code="t">Containment --</subfield><subfield code="g">5.5.4.</subfield><subfield code="t">Isolation --</subfield><subfield code="g">5.5.5.</subfield><subfield code="t">Recovery --</subfield><subfield code="g">5.6.</subfield><subfield code="t">Improving Fault Masking with Redundancy --</subfield><subfield code="g">5.7.</subfield><subfield code="t">Fault Forecasting --</subfield><subfield code="g">5.8.</subfield><subfield code="t">Conclusion --</subfield><subfield code="t">References --</subfield><subfield code="g">6.</subfield><subfield code="t">Framework for Research and Prototyping in Robotics: From Ideas to Software and Hardware Development /</subfield><subfield code="r">Evangelos Papadopoulos --</subfield><subfield code="g">6.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">6.2.</subfield><subfield code="t">Framework for Simulation and Prototyping --</subfield><subfield code="g">6.2.1.</subfield><subfield code="t">Modeling, Dynamics, and Simulation --</subfield><subfield code="g">6.2.1.1.</subfield><subfield code="t">Dynamics derivation and simulation methods --</subfield><subfield code="g">6.2.1.2.</subfield><subfield code="t">Modeling the environment --</subfield><subfield code="g">6.2.2.</subfield><subfield code="t">System Development: Hardware and Software --</subfield><subfield code="g">6.2.2.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">6.2.2.2.</subfield><subfield code="t">automation pyramid --</subfield><subfield code="g">6.2.2.3.</subfield><subfield code="t">OSI model and Media Access Control (MAC) methods --</subfield><subfield code="g">6.2.2.4.</subfield><subfield code="t">Networked Control System design --</subfield><subfield code="g">6.2.2.5.</subfield><subfield code="t">Switched Ethernet and determinism --</subfield><subfield code="g">6.2.2.6.</subfield><subfield code="t">Quality of Service (QoS) --</subfield><subfield code="g">6.2.2.7.</subfield><subfield code="t">Latency in switched Ethernet --</subfield><subfield code="g">6.2.2.8.</subfield><subfield code="t">Message exchange using Ethernet, IP, and UDP --</subfield><subfield code="g">6.2.2.9.</subfield><subfield code="t">Network layer: The Internet Protocol --</subfield><subfield code="g">6.2.2.10.</subfield><subfield code="t">Transport layer: The User Datagram Protocol --</subfield><subfield code="g">6.2.2.11.</subfield><subfield code="t">Application layer --</subfield><subfield code="g">6.2.2.12.</subfield><subfield code="t">Software design for the MCU node --</subfield><subfield code="g">6.2.2.13.</subfield><subfield code="t">Software design for the ROS computer --</subfield><subfield code="g">6.3.</subfield><subfield code="t">Application Experiments --</subfield><subfield code="g">6.3.1.</subfield><subfield code="t">Treadmill Control --</subfield><subfield code="g">6.3.1.1.</subfield><subfield code="t">System description --</subfield><subfield code="g">6.3.1.2.</subfield><subfield code="t">Software design: MCU side --</subfield><subfield code="g">6.3.1.3.</subfield><subfield code="t">Software design: ROS side --</subfield><subfield code="g">6.3.1.4.</subfield><subfield code="t">Hardware experiment --</subfield><subfield code="g">6.3.2.</subfield><subfield code="t">Single Actuated Hopping Robot (SAHR) --</subfield><subfield code="g">6.3.2.1.</subfield><subfield code="t">Robot description --</subfield><subfield code="g">6.3.2.2.</subfield><subfield code="t">Software design: MCU side --</subfield><subfield code="g">6.3.2.3.</subfield><subfield code="t">Software design: ROS side --</subfield><subfield code="g">6.3.2.4.</subfield><subfield code="t">Simulation experiment --</subfield><subfield code="g">6.3.2.5.</subfield><subfield code="t">Hardware experiment --</subfield><subfield code="g">6.3.2.6.</subfield><subfield code="t">Simulations on interactions with terrains --</subfield><subfield code="g">6.4.</subfield><subfield code="t">Conclusions --</subfield><subfield code="t">Acknowledgment --</subfield><subfield code="t">References --</subfield><subfield code="g">7.</subfield><subfield code="t">Modeling Control Mechanisms in MATLAB /</subfield><subfield code="r">Kostas Siozios --</subfield><subfield code="g">7.1.</subfield><subfield code="t">Introduction --</subfield><subfield code="g">7.2.</subfield><subfield code="t">MATLAB Control System Toolbox --</subfield><subfield code="g">7.3.</subfield><subfield code="t">Overview of Commands for the Control System Toolbox --</subfield><subfield code="g">7.4.</subfield><subfield code="t">Examples of Designing Control Systems at MATLAB --</subfield><subfield code="g">7.4.1.</subfield><subfield code="t">Example 7.1 --</subfield><subfield code="g">7.4.2.</subfield><subfield code="t">Example 7.2 --</subfield><subfield code="g">7.4.3.</subfield><subfield code="t">Example 7.3 --</subfield><subfield code="g">7.4.4.</subfield><subfield code="t">Example 7.4 --</subfield><subfield code="g">7.4.5.</subfield><subfield code="t">Example 7.5 --</subfield><subfield code="g">7.4.6.</subfield><subfield code="t">Example 7.6 --</subfield><subfield code="g">7.4.7.</subfield><subfield code="t">Example 7.7 --</subfield><subfield code="g">7.4.8.</subfield><subfield code="t">Example 7.8 --</subfield><subfield code="g">7.4.9.</subfield><subfield code="t">Example 7.9 --</subfield><subfield code="g">7.4.10.</subfield><subfield code="t">Example 7.10 --</subfield><subfield code="g">7.4.11.</subfield><subfield code="t">Example 7.11 --</subfield><subfield code="g">7.4.12.</subfield><subfield code="t">Example 7.12 --</subfield><subfield code="g">7.4.13.</subfield><subfield code="t">Example 7.13 --</subfield><subfield code="g">7.4.14.</subfield><subfield code="t">Example 7.14 --</subfield><subfield code="g">7.4.15.</subfield><subfield code="t">Example 7.15 --</subfield><subfield code="g">7.4.16.</subfield><subfield code="t">Example 7.16 --</subfield><subfield code="g">7.4.17.</subfield><subfield code="t">Example 7.17 --</subfield><subfield code="g">7.4.18.</subfield><subfield code="t">Example 7.18 --</subfield><subfield code="g">8.</subfield><subfield code="t">Overview of R & D Projects and Support Actions in Relevant Topics /</subfield><subfield code="r">Alkis Konstantellos --</subfield><subfield code="g">8.1.</subfield><subfield code="t">Road-Mapping Projects on CPS, IoT, SoS, Combined CPS -- SoS and Related Technologies --</subfield><subfield code="g">8.2.</subfield><subfield code="t">Systems Related Foundations and Novel Concepts --</subfield><subfield code="g">8.3.</subfield><subfield code="t">Cross-Layer Programming --</subfield><subfield code="g">8.4.</subfield><subfield code="t">Systems of Systems and CPS --</subfield><subfield code="g">8.5.</subfield><subfield code="t">Control and Optimization in CPS and SoS --</subfield><subfield code="g">8.6.</subfield><subfield code="t">CPS Modeling, Design, Methods, and Tools --</subfield><subfield code="g">8.7.</subfield><subfield code="t">CPS Security, Safety, Trust, and Testing --</subfield><subfield code="g">8.8.</subfield><subfield code="t">CPS Verification --</subfield><subfield code="g">8.9.</subfield><subfield code="t">CPS Platforms --</subfield><subfield code="g">8.10.</subfield><subfield code="t">CPS and Manufacturing --</subfield><subfield code="g">8.11.</subfield><subfield code="t">Industry 4.0 and CPS --</subfield><subfield code="g">8.12.</subfield><subfield code="t">IoT and Underpinning Challenges --</subfield><subfield code="g">8.13.</subfield><subfield code="t">International Cooperation -- Examples --</subfield><subfield code="g">8.14.</subfield><subfield code="t">Decision Making (Methods Applied) --</subfield><subfield code="g">8.15.</subfield><subfield code="t">Decision Processes -- Human in the Loop --</subfield><subfield code="g">8.16.</subfield><subfield code="t">Collision Avoidance (CA) Including ACAS-X --</subfield><subfield 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| id | ZDB-4-EBA-on1015876600 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:28:09Z |
| institution | BVB |
| isbn | 8793609086 9788793609082 |
| language | English |
| oclc_num | 1015876600 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource |
| psigel | ZDB-4-EBA |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | River Publishers, |
| record_format | marc |
| series | River Publishers series in circuits and systems. |
| series2 | River Publishers Series in Circuits and Systems |
| spelling | Cyber-physical systems : decision making mechanisms and applications / Kostas Siozios, Dimitrios Soudris, Elias Kosmatopoulos. Gistrup, Denmark : River Publishers, 2017. 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier River Publishers Series in Circuits and Systems Print version record. As systems continue to evolve they rely less on human decision-making and more on computational intelligence. This trend in conjunction to the available technologies for providing advanced sensing, measurement, process control, and communication lead towards the new field of Cyber-Physical System (CPS). Cyber-physical systems are expected to play a major role in the design and development of future engineering platforms with new capabilities that far exceed today's levels of autonomy, functionality and usability. Although these systems exhibit remarkable characteristics, their design and implementation is a challenging issue, as numerous (heterogeneous) components and services have to be appropriately modeled and simulated together. The problem of designing efficient CPS becomes far more challenging in case the target system has to meet also real-time constraints. CyberPhysical Systems: Decision Making Mechanisms and Applications describes essential theory, recent research and large-scale usecases that addresses urgent challenges in CPS architectures. In particular, it includes chapters on: " Decision making for large scale CPS " Modeling of CPS with emphasis at the control mechanisms " Hardware/software implementation of the control mechanisms " Fault-tolerant and reliability issues for the control mechanisms " Cyberphysical user-cases that incorporate challenging decision making Machine generated contents note: 1. Overview of Emerging Systems-Related Concepts, Approaches and Technologies Unifying and Advancing S & T Achievements of the Past Decades (e.g. CPS, IoT, I2oT, SoS/E, 5G and Cross-Cutting Decision Making) / Alkis Konstantellos -- 1.1. Introduction -- 1.1.1. Key Survey, Review, Reference Publications and Textbooks -- 1.1.2. Motivating Example: Air Traffic Management and Collision Avoidance Systems -- 1.1.3. Success and Failure of Contemporary Systems -- 1.2. System, Model(s), Many Systems and Their Characterisation -- 1.2.1. What Is a General System? -- 1.2.1.1. One system -- 1.2.1.2. Many systems in an environment -- 1.2.2. System Characterisations -- Elementary Abstractions -- 1.2.2.1. Characterisation through fundamental attributes -- 1.2.2.2. Characterisation according to the nature of a system -- 1.2.2.3. intuitive characterisation-profiling scheme for systems -- 1.3. Specific Systems Classification in Established R & D-S & T Databases -- 1.3.1. Condensed Outline-Definitions of the New Topics and Initiatives -- 1.3.2. Sciences, Technologies, Industry and Related Communities -- 1.4. Evolutionary Paths towards (CPS, IoT, SoS/E) and (Ind 4, Soc 5.0) -- 1.4.1. S & T Paths Jointly Leading to CPS -- 1.4.2. S & T Paths Jointly Leading to IoT -- 1.4.3. S & T Paths Jointly Leading to SoS/SoSE and Independently to Industry 4.0 -- 1.5. CPS in More Detail: Definitions, Challenges, Debates and Synergies -- 1.5.1. Introductory Examples -- 1.5.2. Success of the Term CPS and Its "Externalities" -- 1.5.3. CPS -- Definitions -- 1.5.4. What Is Not a CPS? -- 1.5.5. Same System Can Be Viewed under Different Perspectives and Modelled through Different Methods -- 1.5.6. Boundaries between Cyber and Physical Parts of a CPS System -- 1.5.7. Cascading & Nesting of Multiple Cyber, Physical and Complete CPS -- 1.5.8. Simple Classification-Profiling Tool for CPS -- 1.5.9. CPS vs. IoT -- 1.5.10. CPS vs. ICT (Information and Communication Technologies) -- 1.5.11. Examples of CPS Challenges and Some R & D Directions -- 1.6. IoT in More Detail and the 5G Mobile Technologies -- 1.6.1. IoT Applications and Benefits -- Internet of Everything -- 1.6.2. On the IoT Definition -- 1.6.3. Industry Views on IoT and the Industrial IoT (I2oT) by the 12 Consortium -- 1.6.4. 5th Generation Mobile Technologies (Expected around 2020) -- 1.7. System of Systems (SoS) and SoS Engineering (SoSE) -- More Details -- 1.7.1. System of Systems Examples -- 1.7.2. Dahmann and Baldwin Types of SoS -- 1.7.3. Large Scale Systems, Complexity and (Old and New) Cybernetics -- 1.8. Decision Making: Definitions, Examples, Methods, Interactions with System Design -- 1.8.1. Scientific, Engineering Aspects -- Machine and Human Decision Making (DM) -- 1.8.2. Definitions and Basic Considerations -- 1.8.3. Motivating DM Example: Football Goal Line Technology -- 1.8.4. Industrial Examples -- 1.8.4.1. Same decision making challenges in different industries -- 1.8.4.2. Elementary process automation DM -- Decidability cases -- 1.8.4.3. Decision making and processes in large scale Collision Avoidance systems (CA) -- 1.8.4.4. Consensus based methods, majority and supermajority voting -- 1.8.4.5. Human in the loop (HitL) -- 1.8.5. Sequential Process, CPS and Decision Making -- 1.8.5.1. General -- 1.8.5.2. Sequential process examples -- 1.9. Requirements Engineering and Technology Maturity Levels -- 1.9.1. Requirements Engineering -- 1.9.2. Is TRL Sufficient for CPS and SoS/E? -- 1.10. System of the Future (SoF) -- Food for Thought -- 1.10.1. Dreams and Visions of the Systems R & D Communities -- 1.10.2. System of the Future (SoF) -- 1.10.3. Further Examples of Systems Topics for Future R & D Activities -- 1.11. Concluding Remarks -- 1.12. Summary -- Acknowledgment -- References -- 2. On Designing Decision-Making Mechanisms for Cyber-Physical Systems / Elias Kosmatopoulos -- 2.1. Introduction -- 2.2. Related Work for Designing CPS Platforms -- 2.3. Conclusions -- References -- 3. Design Space Exploration Methodology Based on Decision Trees for Cyber-Physical Systems / Dimitrios Soudris -- 3.1. Methodology -- 3.1.1. Design Options -- 3.1.2. Constraints -- 3.1.3. Interdependencies -- 3.1.4. Methodology Flow -- 3.2. Demonstration of the Methodology -- 3.2.1. DSE on Concurrent Data Structures -- 3.2.2. DSE on Multiway Streaming Aggregation -- 3.3. Conclusion -- References -- 4. PReDiCt: A Scenario-based Methodology for Realizing Decision-Making Mechanisms Targeting Cyber-Physical Systems / Dimitrios Soudris -- 4.1. PReDiCt Framework -- 4.1.1. Step 1: Requirements -- 4.1.2. Step 2: System Design -- 4.1.3. Step 3: System Modeling -- 4.1.4. Step 4: Run-Time Situation (RTS) Definition -- 4.1.5. Step 5: Scenario Clustering -- 4.1.6. Step 6: Decision Making -- 4.1.7. Step 7: System Verification -- 4.2. Employed Use Case -- 4.2.1. Applying the Proposed Framework -- 4.3. Experimental Results -- 4.3.1. Hardware Implementation of Decision Making -- 4.4. Conclusion -- References -- 5. Studying Fault Tolerance Aspects / Kostas Siozios -- 5.1. Introduction -- 5.2. Definition of Faults and Fault-Tolerance -- 5.3. Overview of Wear-out Mechanisms -- 5.4. Classication of Faults -- 5.5. Countermeasures for a Fault-Tolerant System -- 5.5.1. Fault Avoidance -- 5.5.2. Fault Detection -- 5.5.3. Containment -- 5.5.4. Isolation -- 5.5.5. Recovery -- 5.6. Improving Fault Masking with Redundancy -- 5.7. Fault Forecasting -- 5.8. Conclusion -- References -- 6. Framework for Research and Prototyping in Robotics: From Ideas to Software and Hardware Development / Evangelos Papadopoulos -- 6.1. Introduction -- 6.2. Framework for Simulation and Prototyping -- 6.2.1. Modeling, Dynamics, and Simulation -- 6.2.1.1. Dynamics derivation and simulation methods -- 6.2.1.2. Modeling the environment -- 6.2.2. System Development: Hardware and Software -- 6.2.2.1. Introduction -- 6.2.2.2. automation pyramid -- 6.2.2.3. OSI model and Media Access Control (MAC) methods -- 6.2.2.4. Networked Control System design -- 6.2.2.5. Switched Ethernet and determinism -- 6.2.2.6. Quality of Service (QoS) -- 6.2.2.7. Latency in switched Ethernet -- 6.2.2.8. Message exchange using Ethernet, IP, and UDP -- 6.2.2.9. Network layer: The Internet Protocol -- 6.2.2.10. Transport layer: The User Datagram Protocol -- 6.2.2.11. Application layer -- 6.2.2.12. Software design for the MCU node -- 6.2.2.13. Software design for the ROS computer -- 6.3. Application Experiments -- 6.3.1. Treadmill Control -- 6.3.1.1. System description -- 6.3.1.2. Software design: MCU side -- 6.3.1.3. Software design: ROS side -- 6.3.1.4. Hardware experiment -- 6.3.2. Single Actuated Hopping Robot (SAHR) -- 6.3.2.1. Robot description -- 6.3.2.2. Software design: MCU side -- 6.3.2.3. Software design: ROS side -- 6.3.2.4. Simulation experiment -- 6.3.2.5. Hardware experiment -- 6.3.2.6. Simulations on interactions with terrains -- 6.4. Conclusions -- Acknowledgment -- References -- 7. Modeling Control Mechanisms in MATLAB / Kostas Siozios -- 7.1. Introduction -- 7.2. MATLAB Control System Toolbox -- 7.3. Overview of Commands for the Control System Toolbox -- 7.4. Examples of Designing Control Systems at MATLAB -- 7.4.1. Example 7.1 -- 7.4.2. Example 7.2 -- 7.4.3. Example 7.3 -- 7.4.4. Example 7.4 -- 7.4.5. Example 7.5 -- 7.4.6. Example 7.6 -- 7.4.7. Example 7.7 -- 7.4.8. Example 7.8 -- 7.4.9. Example 7.9 -- 7.4.10. Example 7.10 -- 7.4.11. Example 7.11 -- 7.4.12. Example 7.12 -- 7.4.13. Example 7.13 -- 7.4.14. Example 7.14 -- 7.4.15. Example 7.15 -- 7.4.16. Example 7.16 -- 7.4.17. Example 7.17 -- 7.4.18. Example 7.18 -- 8. Overview of R & D Projects and Support Actions in Relevant Topics / Alkis Konstantellos -- 8.1. Road-Mapping Projects on CPS, IoT, SoS, Combined CPS -- SoS and Related Technologies -- 8.2. Systems Related Foundations and Novel Concepts -- 8.3. Cross-Layer Programming -- 8.4. Systems of Systems and CPS -- 8.5. Control and Optimization in CPS and SoS -- 8.6. CPS Modeling, Design, Methods, and Tools -- 8.7. CPS Security, Safety, Trust, and Testing -- 8.8. CPS Verification -- 8.9. CPS Platforms -- 8.10. CPS and Manufacturing -- 8.11. Industry 4.0 and CPS -- 8.12. IoT and Underpinning Challenges -- 8.13. International Cooperation -- Examples -- 8.14. Decision Making (Methods Applied) -- 8.15. Decision Processes -- Human in the Loop -- 8.16. Collision Avoidance (CA) Including ACAS-X -- 8.17. Concluding Comments -- Acknowledgment -- References. Cooperating objects (Computer systems) Decision making. Objets coopérants (Systèmes informatiques) Prise de décision. Siozios, Kostas, editor. Soudris, Dimitrios, 1964- editor. https://id.oclc.org/worldcat/entity/E39PCjHtQwBB6YtYqkHGDKwQv3 http://id.loc.gov/authorities/names/n00006203 Kosmatopoulos, Elias, editor. has work: Cyber-physical systems (Text) https://id.oclc.org/worldcat/entity/E39PCFWKjYJKRhdRCRpCYxB4HK https://id.oclc.org/worldcat/ontology/hasWork Print version: Siozios, Kostas. CyberPhysical Systems: Decision Making Mechanisms and Applications. Aalborg : River Publishers, ©2017 9788793609099 River Publishers series in circuits and systems. http://id.loc.gov/authorities/names/no2016146406 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1800596 Volltext |
| spellingShingle | Cyber-physical systems : decision making mechanisms and applications / River Publishers series in circuits and systems. Overview of Emerging Systems-Related Concepts, Approaches and Technologies Unifying and Advancing S & T Achievements of the Past Decades (e.g. CPS, IoT, I2oT, SoS/E, 5G and Cross-Cutting Decision Making) / Introduction -- Key Survey, Review, Reference Publications and Textbooks -- Motivating Example: Air Traffic Management and Collision Avoidance Systems -- Success and Failure of Contemporary Systems -- System, Model(s), Many Systems and Their Characterisation -- What Is a General System? -- One system -- Many systems in an environment -- System Characterisations -- Elementary Abstractions -- Characterisation through fundamental attributes -- Characterisation according to the nature of a system -- intuitive characterisation-profiling scheme for systems -- Specific Systems Classification in Established R & D-S & T Databases -- Condensed Outline-Definitions of the New Topics and Initiatives -- Sciences, Technologies, Industry and Related Communities -- Evolutionary Paths towards (CPS, IoT, SoS/E) and (Ind 4, Soc 5.0) -- S & T Paths Jointly Leading to CPS -- S & T Paths Jointly Leading to IoT -- S & T Paths Jointly Leading to SoS/SoSE and Independently to Industry 4.0 -- CPS in More Detail: Definitions, Challenges, Debates and Synergies -- Introductory Examples -- Success of the Term CPS and Its "Externalities" -- CPS -- Definitions -- What Is Not a CPS? -- Same System Can Be Viewed under Different Perspectives and Modelled through Different Methods -- Boundaries between Cyber and Physical Parts of a CPS System -- Cascading & Nesting of Multiple Cyber, Physical and Complete CPS -- Simple Classification-Profiling Tool for CPS -- CPS vs. IoT -- CPS vs. ICT (Information and Communication Technologies) -- Examples of CPS Challenges and Some R & D Directions -- IoT in More Detail and the 5G Mobile Technologies -- IoT Applications and Benefits -- Internet of Everything -- On the IoT Definition -- Industry Views on IoT and the Industrial IoT (I2oT) by the 12 Consortium -- 5th Generation Mobile Technologies (Expected around 2020) -- System of Systems (SoS) and SoS Engineering (SoSE) -- More Details -- System of Systems Examples -- Dahmann and Baldwin Types of SoS -- Large Scale Systems, Complexity and (Old and New) Cybernetics -- Decision Making: Definitions, Examples, Methods, Interactions with System Design -- Scientific, Engineering Aspects -- Machine and Human Decision Making (DM) -- Definitions and Basic Considerations -- Motivating DM Example: Football Goal Line Technology -- Industrial Examples -- Same decision making challenges in different industries -- Elementary process automation DM -- Decidability cases -- Decision making and processes in large scale Collision Avoidance systems (CA) -- Consensus based methods, majority and supermajority voting -- Human in the loop (HitL) -- Sequential Process, CPS and Decision Making -- General -- Sequential process examples -- Requirements Engineering and Technology Maturity Levels -- Requirements Engineering -- Is TRL Sufficient for CPS and SoS/E? -- System of the Future (SoF) -- Food for Thought -- Dreams and Visions of the Systems R & D Communities -- System of the Future (SoF) -- Further Examples of Systems Topics for Future R & D Activities -- Concluding Remarks -- Summary -- Acknowledgment -- References -- On Designing Decision-Making Mechanisms for Cyber-Physical Systems / Related Work for Designing CPS Platforms -- Conclusions -- Design Space Exploration Methodology Based on Decision Trees for Cyber-Physical Systems / Methodology -- Design Options -- Constraints -- Interdependencies -- Methodology Flow -- Demonstration of the Methodology -- DSE on Concurrent Data Structures -- DSE on Multiway Streaming Aggregation -- Conclusion -- PReDiCt: A Scenario-based Methodology for Realizing Decision-Making Mechanisms Targeting Cyber-Physical Systems / PReDiCt Framework -- Step 1: Requirements -- Step 2: System Design -- Step 3: System Modeling -- Step 4: Run-Time Situation (RTS) Definition -- Step 5: Scenario Clustering -- Step 6: Decision Making -- Step 7: System Verification -- Employed Use Case -- Applying the Proposed Framework -- Experimental Results -- Hardware Implementation of Decision Making -- Studying Fault Tolerance Aspects / Definition of Faults and Fault-Tolerance -- Overview of Wear-out Mechanisms -- Classication of Faults -- Countermeasures for a Fault-Tolerant System -- Fault Avoidance -- Fault Detection -- Containment -- Isolation -- Recovery -- Improving Fault Masking with Redundancy -- Fault Forecasting -- Framework for Research and Prototyping in Robotics: From Ideas to Software and Hardware Development / Framework for Simulation and Prototyping -- Modeling, Dynamics, and Simulation -- Dynamics derivation and simulation methods -- Modeling the environment -- System Development: Hardware and Software -- automation pyramid -- OSI model and Media Access Control (MAC) methods -- Networked Control System design -- Switched Ethernet and determinism -- Quality of Service (QoS) -- Latency in switched Ethernet -- Message exchange using Ethernet, IP, and UDP -- Network layer: The Internet Protocol -- Transport layer: The User Datagram Protocol -- Application layer -- Software design for the MCU node -- Software design for the ROS computer -- Application Experiments -- Treadmill Control -- System description -- Software design: MCU side -- Software design: ROS side -- Hardware experiment -- Single Actuated Hopping Robot (SAHR) -- Robot description -- Simulation experiment -- Simulations on interactions with terrains -- Modeling Control Mechanisms in MATLAB / MATLAB Control System Toolbox -- Overview of Commands for the Control System Toolbox -- Examples of Designing Control Systems at MATLAB -- Example 7.1 -- Example 7.2 -- Example 7.3 -- Example 7.4 -- Example 7.5 -- Example 7.6 -- Example 7.7 -- Example 7.8 -- Example 7.9 -- Example 7.10 -- Example 7.11 -- Example 7.12 -- Example 7.13 -- Example 7.14 -- Example 7.15 -- Example 7.16 -- Example 7.17 -- Example 7.18 -- Overview of R & D Projects and Support Actions in Relevant Topics / Road-Mapping Projects on CPS, IoT, SoS, Combined CPS -- SoS and Related Technologies -- Systems Related Foundations and Novel Concepts -- Cross-Layer Programming -- Systems of Systems and CPS -- Control and Optimization in CPS and SoS -- CPS Modeling, Design, Methods, and Tools -- CPS Security, Safety, Trust, and Testing -- CPS Verification -- CPS Platforms -- CPS and Manufacturing -- Industry 4.0 and CPS -- IoT and Underpinning Challenges -- International Cooperation -- Examples -- Decision Making (Methods Applied) -- Decision Processes -- Human in the Loop -- Collision Avoidance (CA) Including ACAS-X -- Concluding Comments -- References. Cooperating objects (Computer systems) Decision making. Objets coopérants (Systèmes informatiques) Prise de décision. |
| title | Cyber-physical systems : decision making mechanisms and applications / |
| title_alt | Overview of Emerging Systems-Related Concepts, Approaches and Technologies Unifying and Advancing S & T Achievements of the Past Decades (e.g. CPS, IoT, I2oT, SoS/E, 5G and Cross-Cutting Decision Making) / Introduction -- Key Survey, Review, Reference Publications and Textbooks -- Motivating Example: Air Traffic Management and Collision Avoidance Systems -- Success and Failure of Contemporary Systems -- System, Model(s), Many Systems and Their Characterisation -- What Is a General System? -- One system -- Many systems in an environment -- System Characterisations -- Elementary Abstractions -- Characterisation through fundamental attributes -- Characterisation according to the nature of a system -- intuitive characterisation-profiling scheme for systems -- Specific Systems Classification in Established R & D-S & T Databases -- Condensed Outline-Definitions of the New Topics and Initiatives -- Sciences, Technologies, Industry and Related Communities -- Evolutionary Paths towards (CPS, IoT, SoS/E) and (Ind 4, Soc 5.0) -- S & T Paths Jointly Leading to CPS -- S & T Paths Jointly Leading to IoT -- S & T Paths Jointly Leading to SoS/SoSE and Independently to Industry 4.0 -- CPS in More Detail: Definitions, Challenges, Debates and Synergies -- Introductory Examples -- Success of the Term CPS and Its "Externalities" -- CPS -- Definitions -- What Is Not a CPS? -- Same System Can Be Viewed under Different Perspectives and Modelled through Different Methods -- Boundaries between Cyber and Physical Parts of a CPS System -- Cascading & Nesting of Multiple Cyber, Physical and Complete CPS -- Simple Classification-Profiling Tool for CPS -- CPS vs. IoT -- CPS vs. ICT (Information and Communication Technologies) -- Examples of CPS Challenges and Some R & D Directions -- IoT in More Detail and the 5G Mobile Technologies -- IoT Applications and Benefits -- Internet of Everything -- On the IoT Definition -- Industry Views on IoT and the Industrial IoT (I2oT) by the 12 Consortium -- 5th Generation Mobile Technologies (Expected around 2020) -- System of Systems (SoS) and SoS Engineering (SoSE) -- More Details -- System of Systems Examples -- Dahmann and Baldwin Types of SoS -- Large Scale Systems, Complexity and (Old and New) Cybernetics -- Decision Making: Definitions, Examples, Methods, Interactions with System Design -- Scientific, Engineering Aspects -- Machine and Human Decision Making (DM) -- Definitions and Basic Considerations -- Motivating DM Example: Football Goal Line Technology -- Industrial Examples -- Same decision making challenges in different industries -- Elementary process automation DM -- Decidability cases -- Decision making and processes in large scale Collision Avoidance systems (CA) -- Consensus based methods, majority and supermajority voting -- Human in the loop (HitL) -- Sequential Process, CPS and Decision Making -- General -- Sequential process examples -- Requirements Engineering and Technology Maturity Levels -- Requirements Engineering -- Is TRL Sufficient for CPS and SoS/E? -- System of the Future (SoF) -- Food for Thought -- Dreams and Visions of the Systems R & D Communities -- System of the Future (SoF) -- Further Examples of Systems Topics for Future R & D Activities -- Concluding Remarks -- Summary -- Acknowledgment -- References -- On Designing Decision-Making Mechanisms for Cyber-Physical Systems / Related Work for Designing CPS Platforms -- Conclusions -- Design Space Exploration Methodology Based on Decision Trees for Cyber-Physical Systems / Methodology -- Design Options -- Constraints -- Interdependencies -- Methodology Flow -- Demonstration of the Methodology -- DSE on Concurrent Data Structures -- DSE on Multiway Streaming Aggregation -- Conclusion -- PReDiCt: A Scenario-based Methodology for Realizing Decision-Making Mechanisms Targeting Cyber-Physical Systems / PReDiCt Framework -- Step 1: Requirements -- Step 2: System Design -- Step 3: System Modeling -- Step 4: Run-Time Situation (RTS) Definition -- Step 5: Scenario Clustering -- Step 6: Decision Making -- Step 7: System Verification -- Employed Use Case -- Applying the Proposed Framework -- Experimental Results -- Hardware Implementation of Decision Making -- Studying Fault Tolerance Aspects / Definition of Faults and Fault-Tolerance -- Overview of Wear-out Mechanisms -- Classication of Faults -- Countermeasures for a Fault-Tolerant System -- Fault Avoidance -- Fault Detection -- Containment -- Isolation -- Recovery -- Improving Fault Masking with Redundancy -- Fault Forecasting -- Framework for Research and Prototyping in Robotics: From Ideas to Software and Hardware Development / Framework for Simulation and Prototyping -- Modeling, Dynamics, and Simulation -- Dynamics derivation and simulation methods -- Modeling the environment -- System Development: Hardware and Software -- automation pyramid -- OSI model and Media Access Control (MAC) methods -- Networked Control System design -- Switched Ethernet and determinism -- Quality of Service (QoS) -- Latency in switched Ethernet -- Message exchange using Ethernet, IP, and UDP -- Network layer: The Internet Protocol -- Transport layer: The User Datagram Protocol -- Application layer -- Software design for the MCU node -- Software design for the ROS computer -- Application Experiments -- Treadmill Control -- System description -- Software design: MCU side -- Software design: ROS side -- Hardware experiment -- Single Actuated Hopping Robot (SAHR) -- Robot description -- Simulation experiment -- Simulations on interactions with terrains -- Modeling Control Mechanisms in MATLAB / MATLAB Control System Toolbox -- Overview of Commands for the Control System Toolbox -- Examples of Designing Control Systems at MATLAB -- Example 7.1 -- Example 7.2 -- Example 7.3 -- Example 7.4 -- Example 7.5 -- Example 7.6 -- Example 7.7 -- Example 7.8 -- Example 7.9 -- Example 7.10 -- Example 7.11 -- Example 7.12 -- Example 7.13 -- Example 7.14 -- Example 7.15 -- Example 7.16 -- Example 7.17 -- Example 7.18 -- Overview of R & D Projects and Support Actions in Relevant Topics / Road-Mapping Projects on CPS, IoT, SoS, Combined CPS -- SoS and Related Technologies -- Systems Related Foundations and Novel Concepts -- Cross-Layer Programming -- Systems of Systems and CPS -- Control and Optimization in CPS and SoS -- CPS Modeling, Design, Methods, and Tools -- CPS Security, Safety, Trust, and Testing -- CPS Verification -- CPS Platforms -- CPS and Manufacturing -- Industry 4.0 and CPS -- IoT and Underpinning Challenges -- International Cooperation -- Examples -- Decision Making (Methods Applied) -- Decision Processes -- Human in the Loop -- Collision Avoidance (CA) Including ACAS-X -- Concluding Comments -- References. |
| title_auth | Cyber-physical systems : decision making mechanisms and applications / |
| title_exact_search | Cyber-physical systems : decision making mechanisms and applications / |
| title_full | Cyber-physical systems : decision making mechanisms and applications / Kostas Siozios, Dimitrios Soudris, Elias Kosmatopoulos. |
| title_fullStr | Cyber-physical systems : decision making mechanisms and applications / Kostas Siozios, Dimitrios Soudris, Elias Kosmatopoulos. |
| title_full_unstemmed | Cyber-physical systems : decision making mechanisms and applications / Kostas Siozios, Dimitrios Soudris, Elias Kosmatopoulos. |
| title_short | Cyber-physical systems : |
| title_sort | cyber physical systems decision making mechanisms and applications |
| title_sub | decision making mechanisms and applications / |
| topic | Cooperating objects (Computer systems) Decision making. Objets coopérants (Systèmes informatiques) Prise de décision. |
| topic_facet | Cooperating objects (Computer systems) Decision making. Objets coopérants (Systèmes informatiques) Prise de décision. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1800596 |
| work_keys_str_mv | AT siozioskostas cyberphysicalsystemsdecisionmakingmechanismsandapplications AT soudrisdimitrios cyberphysicalsystemsdecisionmakingmechanismsandapplications AT kosmatopouloselias cyberphysicalsystemsdecisionmakingmechanismsandapplications |