Principles of cyber-physical systems: an interdisciplinary approach
This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power syste...
Gespeichert in:
| Weitere Verfasser: | , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge, United Kingdom
Cambridge University Press
2020
|
| Schlagworte: | |
| Online-Zugang: | FHD01 |
| Zusammenfassung: | This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power systems, air transportation networks, and health care systems. Design, control and optimization of cyber-physical infrastructures are discussed, addressing security and privacy issues of networked CPS, presenting graph-theoretic and numerical approaches to CPS evaluation and monitoring, and providing readers with the knowledge needed to operate CPS in a reliable, efficient, and secure manner. Exercises are included. This is an ideal resource for researchers and graduate students in electrical engineering and computer science, as well as for practitioners using cyber-physical systems in aerospace and automotive engineering, medical technology, and large-scale infrastructure operations |
| Beschreibung: | 1 Online-Ressource (xxii, 440 Seiten) |
| ISBN: | 9781108916653 |
Internformat
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| 505 | 8 | |a Cover -- Half-title -- Title page -- Copyright information -- Contents -- List of Contributors -- Preface -- Part I Overcoming Uncertainty -- 1 From Physical Processes to Theoretical Foundations of Cyber-Physical Systems Design and Optimization -- 1.1 Introduction -- 1.2 Characteristics of Physical Processes: Self-Similar, Fractal, and Nonstationary Dynamics -- 1.3 Workloads in Cyber-Physical Systems -- 1.4 New Formalism for Modeling Cyber-Physical Workloads -- 1.5 CPS Design under Uncertainty Conditions | |
| 505 | 8 | |a 1.6 Mathematical Implications of the Fractal Formalism on Bio-implantable CPS Medical Devices -- 1.7 Conclusion and Future Work -- 1.8 Acknowledgments -- 2 Effective Uncertainty Evaluation in Large-Scale Systems -- 2.1 Introduction -- 2.2 The Background of Simulation-Based Uncertainty Evaluation -- 2.2.1 Problem Formulation -- 2.2.2 Monte Carlo Methods -- 2.2.3 Sampling-Based Methods -- 2.3 Single-Variable PCM -- 2.3.1 Key Properties -- 2.3.2 Design Procedures -- 2.4 Multivariate PCM -- 2.4.1 Independent M-PCM -- 2.4.2 Correlated M-PCM -- 2.5 Scalable M-PCM Design -- 2.5.1 Introduction | |
| 505 | 8 | |a 2.5.2 Design Procedures -- 2.5.3 Properties of the M-PCM-OFFD -- 2.6 Application to Air Traffic Flow Management -- 2.7 Concluding Remarks and Future Works -- 3 A Flexible Graph Partitioning Algorithm for Cyber-Physical Systems -- 3.1 Introduction -- 3.2 Influence Model: Review -- 3.2.1 Notations -- 3.3 Influence Model-Based Partitioning Algorithm -- 3.4 Performance Analysis -- 3.5 Characterizing Weak Cuts -- 3.5.1 Perturbation of Eigenvalues -- 3.5.2 Eigenvector Sensitivity -- 3.6 Integrative Theorem and Discussion -- Part I Exercises -- Part II Exploiting Structure for Control | |
| 505 | 8 | |a 4 A Survey on Remote Estimation Problems -- 4.1 Introduction -- 4.1.1 Organization -- 4.1.2 Notation -- 4.2 Optimal Estimation with Limited Transmissions -- 4.2.1 The Imer-Basar Problem -- 4.2.2 Variations and Extensions -- 4.2.3 Main Features of the Imer-Basar Problem -- 4.3 Optimal Communication Logics -- 4.3.1 The Xu-Hespanha Problem -- 4.3.2 Variations and Extensions -- 4.3.3 Main Features of the Xu-Hespanha Problem -- 4.4 Remote Estimation with Communication Costs -- 4.4.1 The Lipsa-Martins Problem -- 4.4.2 Variations and Extensions -- 4.4.3 Main Features of the Lipsa-Martins Problem | |
| 505 | 8 | |a 4.5 Remote Estimation in Continuous Time -- 4.5.1 The Rabi-Moustakides-Baras Problem -- 4.5.2 Variations and Extensions -- 4.5.3 Main Features of the Rabi-Moustakides-Baras Problem -- 4.6 Sensor Scheduling versus Event-Driven Strategies for Remote Estimation -- 4.6.1 Separation of Sensor Scheduling and Control -- 4.6.2 Sensor Scheduling in Continuous Time -- 4.6.3 Sensor Scheduling in Discrete Time -- 4.6.4 Event-Driven Strategies for Remote Estimation -- 4.6.5 Estimation over Shared Networks -- 4.7 Estimation over the Collision Channel -- 4.8 Conclusion | |
| 520 | |a This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power systems, air transportation networks, and health care systems. Design, control and optimization of cyber-physical infrastructures are discussed, addressing security and privacy issues of networked CPS, presenting graph-theoretic and numerical approaches to CPS evaluation and monitoring, and providing readers with the knowledge needed to operate CPS in a reliable, efficient, and secure manner. Exercises are included. This is an ideal resource for researchers and graduate students in electrical engineering and computer science, as well as for practitioners using cyber-physical systems in aerospace and automotive engineering, medical technology, and large-scale infrastructure operations | ||
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| contents | Cover -- Half-title -- Title page -- Copyright information -- Contents -- List of Contributors -- Preface -- Part I Overcoming Uncertainty -- 1 From Physical Processes to Theoretical Foundations of Cyber-Physical Systems Design and Optimization -- 1.1 Introduction -- 1.2 Characteristics of Physical Processes: Self-Similar, Fractal, and Nonstationary Dynamics -- 1.3 Workloads in Cyber-Physical Systems -- 1.4 New Formalism for Modeling Cyber-Physical Workloads -- 1.5 CPS Design under Uncertainty Conditions 1.6 Mathematical Implications of the Fractal Formalism on Bio-implantable CPS Medical Devices -- 1.7 Conclusion and Future Work -- 1.8 Acknowledgments -- 2 Effective Uncertainty Evaluation in Large-Scale Systems -- 2.1 Introduction -- 2.2 The Background of Simulation-Based Uncertainty Evaluation -- 2.2.1 Problem Formulation -- 2.2.2 Monte Carlo Methods -- 2.2.3 Sampling-Based Methods -- 2.3 Single-Variable PCM -- 2.3.1 Key Properties -- 2.3.2 Design Procedures -- 2.4 Multivariate PCM -- 2.4.1 Independent M-PCM -- 2.4.2 Correlated M-PCM -- 2.5 Scalable M-PCM Design -- 2.5.1 Introduction 2.5.2 Design Procedures -- 2.5.3 Properties of the M-PCM-OFFD -- 2.6 Application to Air Traffic Flow Management -- 2.7 Concluding Remarks and Future Works -- 3 A Flexible Graph Partitioning Algorithm for Cyber-Physical Systems -- 3.1 Introduction -- 3.2 Influence Model: Review -- 3.2.1 Notations -- 3.3 Influence Model-Based Partitioning Algorithm -- 3.4 Performance Analysis -- 3.5 Characterizing Weak Cuts -- 3.5.1 Perturbation of Eigenvalues -- 3.5.2 Eigenvector Sensitivity -- 3.6 Integrative Theorem and Discussion -- Part I Exercises -- Part II Exploiting Structure for Control 4 A Survey on Remote Estimation Problems -- 4.1 Introduction -- 4.1.1 Organization -- 4.1.2 Notation -- 4.2 Optimal Estimation with Limited Transmissions -- 4.2.1 The Imer-Basar Problem -- 4.2.2 Variations and Extensions -- 4.2.3 Main Features of the Imer-Basar Problem -- 4.3 Optimal Communication Logics -- 4.3.1 The Xu-Hespanha Problem -- 4.3.2 Variations and Extensions -- 4.3.3 Main Features of the Xu-Hespanha Problem -- 4.4 Remote Estimation with Communication Costs -- 4.4.1 The Lipsa-Martins Problem -- 4.4.2 Variations and Extensions -- 4.4.3 Main Features of the Lipsa-Martins Problem 4.5 Remote Estimation in Continuous Time -- 4.5.1 The Rabi-Moustakides-Baras Problem -- 4.5.2 Variations and Extensions -- 4.5.3 Main Features of the Rabi-Moustakides-Baras Problem -- 4.6 Sensor Scheduling versus Event-Driven Strategies for Remote Estimation -- 4.6.1 Separation of Sensor Scheduling and Control -- 4.6.2 Sensor Scheduling in Continuous Time -- 4.6.3 Sensor Scheduling in Discrete Time -- 4.6.4 Event-Driven Strategies for Remote Estimation -- 4.6.5 Estimation over Shared Networks -- 4.7 Estimation over the Collision Channel -- 4.8 Conclusion |
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| spelling | Principles of cyber-physical systems an interdisciplinary approach edited by Sandip Roy, Sajal K. Das Cambridge, United Kingdom Cambridge University Press 2020 1 Online-Ressource (xxii, 440 Seiten) txt rdacontent c rdamedia cr rdacarrier Cover -- Half-title -- Title page -- Copyright information -- Contents -- List of Contributors -- Preface -- Part I Overcoming Uncertainty -- 1 From Physical Processes to Theoretical Foundations of Cyber-Physical Systems Design and Optimization -- 1.1 Introduction -- 1.2 Characteristics of Physical Processes: Self-Similar, Fractal, and Nonstationary Dynamics -- 1.3 Workloads in Cyber-Physical Systems -- 1.4 New Formalism for Modeling Cyber-Physical Workloads -- 1.5 CPS Design under Uncertainty Conditions 1.6 Mathematical Implications of the Fractal Formalism on Bio-implantable CPS Medical Devices -- 1.7 Conclusion and Future Work -- 1.8 Acknowledgments -- 2 Effective Uncertainty Evaluation in Large-Scale Systems -- 2.1 Introduction -- 2.2 The Background of Simulation-Based Uncertainty Evaluation -- 2.2.1 Problem Formulation -- 2.2.2 Monte Carlo Methods -- 2.2.3 Sampling-Based Methods -- 2.3 Single-Variable PCM -- 2.3.1 Key Properties -- 2.3.2 Design Procedures -- 2.4 Multivariate PCM -- 2.4.1 Independent M-PCM -- 2.4.2 Correlated M-PCM -- 2.5 Scalable M-PCM Design -- 2.5.1 Introduction 2.5.2 Design Procedures -- 2.5.3 Properties of the M-PCM-OFFD -- 2.6 Application to Air Traffic Flow Management -- 2.7 Concluding Remarks and Future Works -- 3 A Flexible Graph Partitioning Algorithm for Cyber-Physical Systems -- 3.1 Introduction -- 3.2 Influence Model: Review -- 3.2.1 Notations -- 3.3 Influence Model-Based Partitioning Algorithm -- 3.4 Performance Analysis -- 3.5 Characterizing Weak Cuts -- 3.5.1 Perturbation of Eigenvalues -- 3.5.2 Eigenvector Sensitivity -- 3.6 Integrative Theorem and Discussion -- Part I Exercises -- Part II Exploiting Structure for Control 4 A Survey on Remote Estimation Problems -- 4.1 Introduction -- 4.1.1 Organization -- 4.1.2 Notation -- 4.2 Optimal Estimation with Limited Transmissions -- 4.2.1 The Imer-Basar Problem -- 4.2.2 Variations and Extensions -- 4.2.3 Main Features of the Imer-Basar Problem -- 4.3 Optimal Communication Logics -- 4.3.1 The Xu-Hespanha Problem -- 4.3.2 Variations and Extensions -- 4.3.3 Main Features of the Xu-Hespanha Problem -- 4.4 Remote Estimation with Communication Costs -- 4.4.1 The Lipsa-Martins Problem -- 4.4.2 Variations and Extensions -- 4.4.3 Main Features of the Lipsa-Martins Problem 4.5 Remote Estimation in Continuous Time -- 4.5.1 The Rabi-Moustakides-Baras Problem -- 4.5.2 Variations and Extensions -- 4.5.3 Main Features of the Rabi-Moustakides-Baras Problem -- 4.6 Sensor Scheduling versus Event-Driven Strategies for Remote Estimation -- 4.6.1 Separation of Sensor Scheduling and Control -- 4.6.2 Sensor Scheduling in Continuous Time -- 4.6.3 Sensor Scheduling in Discrete Time -- 4.6.4 Event-Driven Strategies for Remote Estimation -- 4.6.5 Estimation over Shared Networks -- 4.7 Estimation over the Collision Channel -- 4.8 Conclusion This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power systems, air transportation networks, and health care systems. Design, control and optimization of cyber-physical infrastructures are discussed, addressing security and privacy issues of networked CPS, presenting graph-theoretic and numerical approaches to CPS evaluation and monitoring, and providing readers with the knowledge needed to operate CPS in a reliable, efficient, and secure manner. Exercises are included. This is an ideal resource for researchers and graduate students in electrical engineering and computer science, as well as for practitioners using cyber-physical systems in aerospace and automotive engineering, medical technology, and large-scale infrastructure operations Cooperating objects (Computer systems) Cyber-physisches System (DE-588)1069505412 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Cyber-physisches System (DE-588)1069505412 s DE-604 Roy, Sandip edt Das, Sajal 1960- (DE-588)141294477 edt Erscheint auch als Druck-Ausgabe, Hardback 978-1-107-06661-8 |
| spellingShingle | Principles of cyber-physical systems an interdisciplinary approach Cover -- Half-title -- Title page -- Copyright information -- Contents -- List of Contributors -- Preface -- Part I Overcoming Uncertainty -- 1 From Physical Processes to Theoretical Foundations of Cyber-Physical Systems Design and Optimization -- 1.1 Introduction -- 1.2 Characteristics of Physical Processes: Self-Similar, Fractal, and Nonstationary Dynamics -- 1.3 Workloads in Cyber-Physical Systems -- 1.4 New Formalism for Modeling Cyber-Physical Workloads -- 1.5 CPS Design under Uncertainty Conditions 1.6 Mathematical Implications of the Fractal Formalism on Bio-implantable CPS Medical Devices -- 1.7 Conclusion and Future Work -- 1.8 Acknowledgments -- 2 Effective Uncertainty Evaluation in Large-Scale Systems -- 2.1 Introduction -- 2.2 The Background of Simulation-Based Uncertainty Evaluation -- 2.2.1 Problem Formulation -- 2.2.2 Monte Carlo Methods -- 2.2.3 Sampling-Based Methods -- 2.3 Single-Variable PCM -- 2.3.1 Key Properties -- 2.3.2 Design Procedures -- 2.4 Multivariate PCM -- 2.4.1 Independent M-PCM -- 2.4.2 Correlated M-PCM -- 2.5 Scalable M-PCM Design -- 2.5.1 Introduction 2.5.2 Design Procedures -- 2.5.3 Properties of the M-PCM-OFFD -- 2.6 Application to Air Traffic Flow Management -- 2.7 Concluding Remarks and Future Works -- 3 A Flexible Graph Partitioning Algorithm for Cyber-Physical Systems -- 3.1 Introduction -- 3.2 Influence Model: Review -- 3.2.1 Notations -- 3.3 Influence Model-Based Partitioning Algorithm -- 3.4 Performance Analysis -- 3.5 Characterizing Weak Cuts -- 3.5.1 Perturbation of Eigenvalues -- 3.5.2 Eigenvector Sensitivity -- 3.6 Integrative Theorem and Discussion -- Part I Exercises -- Part II Exploiting Structure for Control 4 A Survey on Remote Estimation Problems -- 4.1 Introduction -- 4.1.1 Organization -- 4.1.2 Notation -- 4.2 Optimal Estimation with Limited Transmissions -- 4.2.1 The Imer-Basar Problem -- 4.2.2 Variations and Extensions -- 4.2.3 Main Features of the Imer-Basar Problem -- 4.3 Optimal Communication Logics -- 4.3.1 The Xu-Hespanha Problem -- 4.3.2 Variations and Extensions -- 4.3.3 Main Features of the Xu-Hespanha Problem -- 4.4 Remote Estimation with Communication Costs -- 4.4.1 The Lipsa-Martins Problem -- 4.4.2 Variations and Extensions -- 4.4.3 Main Features of the Lipsa-Martins Problem 4.5 Remote Estimation in Continuous Time -- 4.5.1 The Rabi-Moustakides-Baras Problem -- 4.5.2 Variations and Extensions -- 4.5.3 Main Features of the Rabi-Moustakides-Baras Problem -- 4.6 Sensor Scheduling versus Event-Driven Strategies for Remote Estimation -- 4.6.1 Separation of Sensor Scheduling and Control -- 4.6.2 Sensor Scheduling in Continuous Time -- 4.6.3 Sensor Scheduling in Discrete Time -- 4.6.4 Event-Driven Strategies for Remote Estimation -- 4.6.5 Estimation over Shared Networks -- 4.7 Estimation over the Collision Channel -- 4.8 Conclusion Cooperating objects (Computer systems) Cyber-physisches System (DE-588)1069505412 gnd |
| subject_GND | (DE-588)1069505412 (DE-588)4143413-4 |
| title | Principles of cyber-physical systems an interdisciplinary approach |
| title_auth | Principles of cyber-physical systems an interdisciplinary approach |
| title_exact_search | Principles of cyber-physical systems an interdisciplinary approach |
| title_exact_search_txtP | Principles of cyber-physical systems an interdisciplinary approach |
| title_full | Principles of cyber-physical systems an interdisciplinary approach edited by Sandip Roy, Sajal K. Das |
| title_fullStr | Principles of cyber-physical systems an interdisciplinary approach edited by Sandip Roy, Sajal K. Das |
| title_full_unstemmed | Principles of cyber-physical systems an interdisciplinary approach edited by Sandip Roy, Sajal K. Das |
| title_short | Principles of cyber-physical systems |
| title_sort | principles of cyber physical systems an interdisciplinary approach |
| title_sub | an interdisciplinary approach |
| topic | Cooperating objects (Computer systems) Cyber-physisches System (DE-588)1069505412 gnd |
| topic_facet | Cooperating objects (Computer systems) Cyber-physisches System Aufsatzsammlung |
| work_keys_str_mv | AT roysandip principlesofcyberphysicalsystemsaninterdisciplinaryapproach AT dassajal principlesofcyberphysicalsystemsaninterdisciplinaryapproach |