Nonlinear estimation and applications to industrial systems control /:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York :
Nova Science Publishers,
[2012]
|
| Schriftenreihe: | Engineering tools, techniques and tables.
Mathematics research developments series. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 1 online resource. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781622572601 1622572602 |
Internformat
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | ZDB-4-EBA-on1162190567 | ||
| 003 | OCoLC | ||
| 005 | 20241004212047.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 120730s2012 nyua ob 001 0 eng | ||
| 010 | |a 2020679730 | ||
| 040 | |a DLC |b eng |e rda |c DLC |d VLY |d N$T |d YDXCP |d E7B |d OCLCF |d EBLCP |d AZK |d MERUC |d AGLDB |d MOR |d PIFPO |d ZCU |d U3W |d STF |d WRM |d VTS |d NRAMU |d ICG |d INT |d VT2 |d AU@ |d WYU |d DKC |d UKCRE |d AJS |d OCLCO |d OCLCQ |d OCLCO |d OCLCL |d TMA |d OCLCQ | ||
| 019 | |a 831664479 |a 961599715 |a 962703741 |a 988468647 |a 991919112 |a 1037904318 |a 1038624712 |a 1045486653 |a 1055381221 |a 1058256094 |a 1065718169 |a 1081188664 |a 1153511446 | ||
| 020 | |a 9781622572601 |q ebook | ||
| 020 | |a 1622572602 | ||
| 020 | |z 9781619428980 |q hardcover | ||
| 020 | |z 1619428989 | ||
| 035 | |a (OCoLC)1162190567 |z (OCoLC)831664479 |z (OCoLC)961599715 |z (OCoLC)962703741 |z (OCoLC)988468647 |z (OCoLC)991919112 |z (OCoLC)1037904318 |z (OCoLC)1038624712 |z (OCoLC)1045486653 |z (OCoLC)1055381221 |z (OCoLC)1058256094 |z (OCoLC)1065718169 |z (OCoLC)1081188664 |z (OCoLC)1153511446 | ||
| 050 | 0 | 0 | |a TJ220.3 |
| 072 | 7 | |a TEC |x 004000 |2 bisacsh | |
| 072 | 7 | |a TEC |x 037000 |2 bisacsh | |
| 082 | 7 | |a 629.801/3751 |2 23 | |
| 049 | |a MAIN | ||
| 245 | 0 | 0 | |a Nonlinear estimation and applications to industrial systems control / |c Gerasimos Rigatos, editor. |
| 264 | 1 | |a New York : |b Nova Science Publishers, |c [2012] | |
| 300 | |a 1 online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Engineering tools, techniques and tables | |
| 490 | 1 | |a Mathematics research developments | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | |a Description based on print version record. | ||
| 546 | |a English. | ||
| 505 | 0 | |a NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; Chapter 1: A GENERALIZED ROBUST FILTERING FRAMEWORK FOR NONLINEAR DIFFERENTIAL-ALGEBRAIC SYSTEMS WITH UNCERTAINTIES; Abstract; 1. Introduction; 2. Preliminaries and Problem Statement; 2.1. Filter Structure; 2.2. Disturbance Attenuation Level; 3. H1 Filter Synthesis; 4. Converting SDP into Strict LMIs; 5. Robustness Against Nonlinear Uncertainty; 6. Illustrative Example. | |
| 505 | 8 | |a 7. Conclusions and Future Research DirectionsReferences; Chapter 2: VARIANCE-CONSTRAINED FILTERING FOR A CLASS OF NONLINEAR STOCHASTIC SYSTEMS; Abstract; 1. Introduction; 2. Filtering Problem for Time-Invariant Systems; 2.1. Problem Formulation; 2.2. Stability and Variance Analysis; 2.3. Robust Filter Design; future. 2.4.esrmns; 3. Filtering Problem with Missing Measurements ; 3.1. Problem Formulation; 3.2. Stability and Variance Analysis; 3.3. Robust Filter Design with Measurements Missing; 3.4. Robust Filter Design with Multiple Measurements Missing; 3.5. Numerical Example; 3.6. Summary. | |
| 505 | 8 | |a 4. Filtering Problem for Time-Varying Systems4.1. Problem Formulation; 4.2. System Covariance Analysis; 4.3. Robust Filter Design; 4.4. Numerical Example; 4.5. Summary; References; Chapter 3: RANDOM COEFFICIENT MATRICES KALMAN FILTERING WITH APPLICATIONS; Abstract; 1. Introduction; 2. Random Coefficient Matrices Kalman Filtering; 2.1. Estimator of the Random Coefficient Matrices Dynamic System; 2.2. Optimal Distributed Random Coefficient Matrices Kalman Filtering Fusion; 2.3. Numerical Examples; 3. Application to Multi-Target Tracking; 3.1. Background; 3.2. Single-Sensor DAIRKF. | |
| 505 | 8 | |a 3.3. Multisensor DAIRKF3.4. Numerical Examples; 4. Conclusion; Appendix; Acknowledgments; References; Chapter 4: ONLINE DISTRIBUTED EVALUATION OF INTERDEPENDENT CRITICAL INFRASTRUCTURES; Abstract; 1. Introduction; 2. Interdependency Modeling: State of the Art; 3. Mixed Holistic-Reductionistic Model; 3.1. Critical Infrastructure Simulation by Interdependent Agent (CISIA); 4. MICIE Online System; 5. Consensus; 6. Consensus of Fuzzy Variables; 6.1. Fuzzy Variables and Systems; 6.2. Fuzzy Consensus; 7. Case Study; 7.1. Power Grid; 7.2. SCADA Network; 7.3. Telecommunication Network. | |
| 505 | 8 | |a 7.4. An Illustrative Example8. Conclusions; Acknowledgement; References; Chapter 5: NONLINEAR ESTIMATION AND FAULT DETECTION IN LARGE-SCALE INDUSTRIAL HVAC SYSTEMS; Abstract; 1. Introduction; Motivation; Previous Work; Complications; Overview; 2. HVAC Systems; Architecture; Modes; Dynamic Modes; Static Modes; Combination Modes; Failures; Classification Based on Effect; Classification Based on Onset; Model Structure; 3. Mathematical Model & Examples; Multi-Unit Hybrid System Model; Assumptions; System Model Examples; 4. General Approach; Remarks; 5. Algorithm Description; FD Algorithm. | |
| 650 | 0 | |a Automatic control. |0 http://id.loc.gov/authorities/subjects/sh85010089 | |
| 650 | 0 | |a Nonlinear theories. |0 http://id.loc.gov/authorities/subjects/sh85092332 | |
| 650 | 0 | |a Estimation theory. |0 http://id.loc.gov/authorities/subjects/sh85044957 | |
| 650 | 6 | |a Commande automatique. | |
| 650 | 6 | |a Théories non linéaires. | |
| 650 | 6 | |a Théorie de l'estimation. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Automation. |2 bisacsh | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Robotics. |2 bisacsh | |
| 650 | 7 | |a Automatic control |2 fast | |
| 650 | 7 | |a Estimation theory |2 fast | |
| 650 | 7 | |a Nonlinear theories |2 fast | |
| 700 | 1 | |a Rigatos, Gerasimos G., |d 1971- |1 https://id.oclc.org/worldcat/entity/E39PBJppBhrGBMvPjtCjwtfQbd |0 http://id.loc.gov/authorities/names/n2009068041 | |
| 758 | |i has work: |a Nonlinear estimation and applications to industrial systems control (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGMB7PwrRDbWc4rKRwQg8C |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |t Nonlinear estimation and applications to industrial systems control |d New York : Nova Science Publishers, [2012] |z 9781619428980 (hardcover) |w (DLC) 2012021584 |
| 830 | 0 | |a Engineering tools, techniques and tables. |0 http://id.loc.gov/authorities/names/no2011012899 | |
| 830 | 0 | |a Mathematics research developments series. |0 http://id.loc.gov/authorities/names/no2009139785 | |
| 856 | 4 | 0 | |l FWS01 |p ZDB-4-EBA |q FWS_PDA_EBA |u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=541958 |3 Volltext |
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL3021659 | ||
| 938 | |a ebrary |b EBRY |n ebr10683398 | ||
| 938 | |a EBSCOhost |b EBSC |n 541958 | ||
| 938 | |a YBP Library Services |b YANK |n 10311750 | ||
| 938 | |a YBP Library Services |b YANK |n 7422952 | ||
| 994 | |a 92 |b GEBAY | ||
| 912 | |a ZDB-4-EBA | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-4-EBA-on1162190567 |
|---|---|
| _version_ | 1816882521998098432 |
| adam_text | |
| any_adam_object | |
| author2 | Rigatos, Gerasimos G., 1971- |
| author2_role | |
| author2_variant | g g r gg ggr |
| author_GND | http://id.loc.gov/authorities/names/n2009068041 |
| author_facet | Rigatos, Gerasimos G., 1971- |
| author_sort | Rigatos, Gerasimos G., 1971- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TJ220 |
| callnumber-raw | TJ220.3 |
| callnumber-search | TJ220.3 |
| callnumber-sort | TJ 3220.3 |
| callnumber-subject | TJ - Mechanical Engineering and Machinery |
| collection | ZDB-4-EBA |
| contents | NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; Chapter 1: A GENERALIZED ROBUST FILTERING FRAMEWORK FOR NONLINEAR DIFFERENTIAL-ALGEBRAIC SYSTEMS WITH UNCERTAINTIES; Abstract; 1. Introduction; 2. Preliminaries and Problem Statement; 2.1. Filter Structure; 2.2. Disturbance Attenuation Level; 3. H1 Filter Synthesis; 4. Converting SDP into Strict LMIs; 5. Robustness Against Nonlinear Uncertainty; 6. Illustrative Example. 7. Conclusions and Future Research DirectionsReferences; Chapter 2: VARIANCE-CONSTRAINED FILTERING FOR A CLASS OF NONLINEAR STOCHASTIC SYSTEMS; Abstract; 1. Introduction; 2. Filtering Problem for Time-Invariant Systems; 2.1. Problem Formulation; 2.2. Stability and Variance Analysis; 2.3. Robust Filter Design; future. 2.4.esrmns; 3. Filtering Problem with Missing Measurements ; 3.1. Problem Formulation; 3.2. Stability and Variance Analysis; 3.3. Robust Filter Design with Measurements Missing; 3.4. Robust Filter Design with Multiple Measurements Missing; 3.5. Numerical Example; 3.6. Summary. 4. Filtering Problem for Time-Varying Systems4.1. Problem Formulation; 4.2. System Covariance Analysis; 4.3. Robust Filter Design; 4.4. Numerical Example; 4.5. Summary; References; Chapter 3: RANDOM COEFFICIENT MATRICES KALMAN FILTERING WITH APPLICATIONS; Abstract; 1. Introduction; 2. Random Coefficient Matrices Kalman Filtering; 2.1. Estimator of the Random Coefficient Matrices Dynamic System; 2.2. Optimal Distributed Random Coefficient Matrices Kalman Filtering Fusion; 2.3. Numerical Examples; 3. Application to Multi-Target Tracking; 3.1. Background; 3.2. Single-Sensor DAIRKF. 3.3. Multisensor DAIRKF3.4. Numerical Examples; 4. Conclusion; Appendix; Acknowledgments; References; Chapter 4: ONLINE DISTRIBUTED EVALUATION OF INTERDEPENDENT CRITICAL INFRASTRUCTURES; Abstract; 1. Introduction; 2. Interdependency Modeling: State of the Art; 3. Mixed Holistic-Reductionistic Model; 3.1. Critical Infrastructure Simulation by Interdependent Agent (CISIA); 4. MICIE Online System; 5. Consensus; 6. Consensus of Fuzzy Variables; 6.1. Fuzzy Variables and Systems; 6.2. Fuzzy Consensus; 7. Case Study; 7.1. Power Grid; 7.2. SCADA Network; 7.3. Telecommunication Network. 7.4. An Illustrative Example8. Conclusions; Acknowledgement; References; Chapter 5: NONLINEAR ESTIMATION AND FAULT DETECTION IN LARGE-SCALE INDUSTRIAL HVAC SYSTEMS; Abstract; 1. Introduction; Motivation; Previous Work; Complications; Overview; 2. HVAC Systems; Architecture; Modes; Dynamic Modes; Static Modes; Combination Modes; Failures; Classification Based on Effect; Classification Based on Onset; Model Structure; 3. Mathematical Model & Examples; Multi-Unit Hybrid System Model; Assumptions; System Model Examples; 4. General Approach; Remarks; 5. Algorithm Description; FD Algorithm. |
| ctrlnum | (OCoLC)1162190567 |
| dewey-full | 629.801/3751 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 629 - Other branches of engineering |
| dewey-raw | 629.801/3751 |
| dewey-search | 629.801/3751 |
| dewey-sort | 3629.801 43751 |
| dewey-tens | 620 - Engineering and allied operations |
| discipline | Mess-/Steuerungs-/Regelungs-/Automatisierungstechnik / Mechatronik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>06565cam a2200721 i 4500</leader><controlfield tag="001">ZDB-4-EBA-on1162190567</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">120730s2012 nyua ob 001 0 eng </controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="a"> 2020679730</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DLC</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">DLC</subfield><subfield code="d">VLY</subfield><subfield code="d">N$T</subfield><subfield code="d">YDXCP</subfield><subfield code="d">E7B</subfield><subfield code="d">OCLCF</subfield><subfield code="d">EBLCP</subfield><subfield code="d">AZK</subfield><subfield code="d">MERUC</subfield><subfield code="d">AGLDB</subfield><subfield code="d">MOR</subfield><subfield code="d">PIFPO</subfield><subfield code="d">ZCU</subfield><subfield code="d">U3W</subfield><subfield code="d">STF</subfield><subfield code="d">WRM</subfield><subfield code="d">VTS</subfield><subfield code="d">NRAMU</subfield><subfield code="d">ICG</subfield><subfield code="d">INT</subfield><subfield code="d">VT2</subfield><subfield code="d">AU@</subfield><subfield code="d">WYU</subfield><subfield code="d">DKC</subfield><subfield code="d">UKCRE</subfield><subfield code="d">AJS</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCQ</subfield><subfield code="d">OCLCO</subfield><subfield code="d">OCLCL</subfield><subfield code="d">TMA</subfield><subfield code="d">OCLCQ</subfield></datafield><datafield tag="019" ind1=" " ind2=" "><subfield code="a">831664479</subfield><subfield code="a">961599715</subfield><subfield code="a">962703741</subfield><subfield code="a">988468647</subfield><subfield code="a">991919112</subfield><subfield code="a">1037904318</subfield><subfield code="a">1038624712</subfield><subfield code="a">1045486653</subfield><subfield code="a">1055381221</subfield><subfield code="a">1058256094</subfield><subfield code="a">1065718169</subfield><subfield code="a">1081188664</subfield><subfield code="a">1153511446</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781622572601</subfield><subfield code="q">ebook</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1622572602</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">9781619428980</subfield><subfield code="q">hardcover</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="z">1619428989</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1162190567</subfield><subfield code="z">(OCoLC)831664479</subfield><subfield code="z">(OCoLC)961599715</subfield><subfield code="z">(OCoLC)962703741</subfield><subfield code="z">(OCoLC)988468647</subfield><subfield code="z">(OCoLC)991919112</subfield><subfield code="z">(OCoLC)1037904318</subfield><subfield code="z">(OCoLC)1038624712</subfield><subfield code="z">(OCoLC)1045486653</subfield><subfield code="z">(OCoLC)1055381221</subfield><subfield code="z">(OCoLC)1058256094</subfield><subfield code="z">(OCoLC)1065718169</subfield><subfield code="z">(OCoLC)1081188664</subfield><subfield code="z">(OCoLC)1153511446</subfield></datafield><datafield tag="050" ind1="0" ind2="0"><subfield code="a">TJ220.3</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">TEC</subfield><subfield code="x">004000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">TEC</subfield><subfield code="x">037000</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="7" ind2=" "><subfield code="a">629.801/3751</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">Nonlinear estimation and applications to industrial systems control /</subfield><subfield code="c">Gerasimos Rigatos, editor.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York :</subfield><subfield code="b">Nova Science Publishers,</subfield><subfield code="c">[2012]</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">Engineering tools, techniques and tables</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Mathematics research developments</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on print version record.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; Chapter 1: A GENERALIZED ROBUST FILTERING FRAMEWORK FOR NONLINEAR DIFFERENTIAL-ALGEBRAIC SYSTEMS WITH UNCERTAINTIES; Abstract; 1. Introduction; 2. Preliminaries and Problem Statement; 2.1. Filter Structure; 2.2. Disturbance Attenuation Level; 3. H1 Filter Synthesis; 4. Converting SDP into Strict LMIs; 5. Robustness Against Nonlinear Uncertainty; 6. Illustrative Example.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">7. Conclusions and Future Research DirectionsReferences; Chapter 2: VARIANCE-CONSTRAINED FILTERING FOR A CLASS OF NONLINEAR STOCHASTIC SYSTEMS; Abstract; 1. Introduction; 2. Filtering Problem for Time-Invariant Systems; 2.1. Problem Formulation; 2.2. Stability and Variance Analysis; 2.3. Robust Filter Design; future. 2.4.esrmns; 3. Filtering Problem with Missing Measurements ; 3.1. Problem Formulation; 3.2. Stability and Variance Analysis; 3.3. Robust Filter Design with Measurements Missing; 3.4. Robust Filter Design with Multiple Measurements Missing; 3.5. Numerical Example; 3.6. Summary.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">4. Filtering Problem for Time-Varying Systems4.1. Problem Formulation; 4.2. System Covariance Analysis; 4.3. Robust Filter Design; 4.4. Numerical Example; 4.5. Summary; References; Chapter 3: RANDOM COEFFICIENT MATRICES KALMAN FILTERING WITH APPLICATIONS; Abstract; 1. Introduction; 2. Random Coefficient Matrices Kalman Filtering; 2.1. Estimator of the Random Coefficient Matrices Dynamic System; 2.2. Optimal Distributed Random Coefficient Matrices Kalman Filtering Fusion; 2.3. Numerical Examples; 3. Application to Multi-Target Tracking; 3.1. Background; 3.2. Single-Sensor DAIRKF.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">3.3. Multisensor DAIRKF3.4. Numerical Examples; 4. Conclusion; Appendix; Acknowledgments; References; Chapter 4: ONLINE DISTRIBUTED EVALUATION OF INTERDEPENDENT CRITICAL INFRASTRUCTURES; Abstract; 1. Introduction; 2. Interdependency Modeling: State of the Art; 3. Mixed Holistic-Reductionistic Model; 3.1. Critical Infrastructure Simulation by Interdependent Agent (CISIA); 4. MICIE Online System; 5. Consensus; 6. Consensus of Fuzzy Variables; 6.1. Fuzzy Variables and Systems; 6.2. Fuzzy Consensus; 7. Case Study; 7.1. Power Grid; 7.2. SCADA Network; 7.3. Telecommunication Network.</subfield></datafield><datafield tag="505" ind1="8" ind2=" "><subfield code="a">7.4. An Illustrative Example8. Conclusions; Acknowledgement; References; Chapter 5: NONLINEAR ESTIMATION AND FAULT DETECTION IN LARGE-SCALE INDUSTRIAL HVAC SYSTEMS; Abstract; 1. Introduction; Motivation; Previous Work; Complications; Overview; 2. HVAC Systems; Architecture; Modes; Dynamic Modes; Static Modes; Combination Modes; Failures; Classification Based on Effect; Classification Based on Onset; Model Structure; 3. Mathematical Model & Examples; Multi-Unit Hybrid System Model; Assumptions; System Model Examples; 4. General Approach; Remarks; 5. Algorithm Description; FD Algorithm.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Automatic control.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85010089</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Nonlinear theories.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85092332</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Estimation theory.</subfield><subfield code="0">http://id.loc.gov/authorities/subjects/sh85044957</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Commande automatique.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Théories non linéaires.</subfield></datafield><datafield tag="650" ind1=" " ind2="6"><subfield code="a">Théorie de l'estimation.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">TECHNOLOGY & ENGINEERING</subfield><subfield code="x">Automation.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">TECHNOLOGY & ENGINEERING</subfield><subfield code="x">Robotics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Automatic control</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Estimation theory</subfield><subfield code="2">fast</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Nonlinear theories</subfield><subfield code="2">fast</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rigatos, Gerasimos G.,</subfield><subfield code="d">1971-</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PBJppBhrGBMvPjtCjwtfQbd</subfield><subfield code="0">http://id.loc.gov/authorities/names/n2009068041</subfield></datafield><datafield tag="758" ind1=" " ind2=" "><subfield code="i">has work:</subfield><subfield code="a">Nonlinear estimation and applications to industrial systems control (Text)</subfield><subfield code="1">https://id.oclc.org/worldcat/entity/E39PCGMB7PwrRDbWc4rKRwQg8C</subfield><subfield code="4">https://id.oclc.org/worldcat/ontology/hasWork</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Print version:</subfield><subfield code="t">Nonlinear estimation and applications to industrial systems control</subfield><subfield code="d">New York : Nova Science Publishers, [2012]</subfield><subfield code="z">9781619428980 (hardcover)</subfield><subfield code="w">(DLC) 2012021584</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Engineering tools, techniques and tables.</subfield><subfield code="0">http://id.loc.gov/authorities/names/no2011012899</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Mathematics research developments series.</subfield><subfield code="0">http://id.loc.gov/authorities/names/no2009139785</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="l">FWS01</subfield><subfield code="p">ZDB-4-EBA</subfield><subfield code="q">FWS_PDA_EBA</subfield><subfield code="u">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=541958</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ProQuest Ebook Central</subfield><subfield code="b">EBLB</subfield><subfield code="n">EBL3021659</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">ebrary</subfield><subfield code="b">EBRY</subfield><subfield code="n">ebr10683398</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">EBSCOhost</subfield><subfield code="b">EBSC</subfield><subfield code="n">541958</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">10311750</subfield></datafield><datafield tag="938" ind1=" " ind2=" "><subfield code="a">YBP Library Services</subfield><subfield code="b">YANK</subfield><subfield code="n">7422952</subfield></datafield><datafield tag="994" ind1=" " ind2=" "><subfield code="a">92</subfield><subfield code="b">GEBAY</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-4-EBA</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-863</subfield></datafield></record></collection> |
| id | ZDB-4-EBA-on1162190567 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:29:57Z |
| institution | BVB |
| isbn | 9781622572601 1622572602 |
| language | English |
| lccn | 2020679730 |
| oclc_num | 1162190567 |
| 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 | 2012 |
| publishDateSearch | 2012 |
| publishDateSort | 2012 |
| publisher | Nova Science Publishers, |
| record_format | marc |
| series | Engineering tools, techniques and tables. Mathematics research developments series. |
| series2 | Engineering tools, techniques and tables Mathematics research developments |
| spelling | Nonlinear estimation and applications to industrial systems control / Gerasimos Rigatos, editor. New York : Nova Science Publishers, [2012] 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Engineering tools, techniques and tables Mathematics research developments Includes bibliographical references and index. Description based on print version record. English. NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; Chapter 1: A GENERALIZED ROBUST FILTERING FRAMEWORK FOR NONLINEAR DIFFERENTIAL-ALGEBRAIC SYSTEMS WITH UNCERTAINTIES; Abstract; 1. Introduction; 2. Preliminaries and Problem Statement; 2.1. Filter Structure; 2.2. Disturbance Attenuation Level; 3. H1 Filter Synthesis; 4. Converting SDP into Strict LMIs; 5. Robustness Against Nonlinear Uncertainty; 6. Illustrative Example. 7. Conclusions and Future Research DirectionsReferences; Chapter 2: VARIANCE-CONSTRAINED FILTERING FOR A CLASS OF NONLINEAR STOCHASTIC SYSTEMS; Abstract; 1. Introduction; 2. Filtering Problem for Time-Invariant Systems; 2.1. Problem Formulation; 2.2. Stability and Variance Analysis; 2.3. Robust Filter Design; future. 2.4.esrmns; 3. Filtering Problem with Missing Measurements ; 3.1. Problem Formulation; 3.2. Stability and Variance Analysis; 3.3. Robust Filter Design with Measurements Missing; 3.4. Robust Filter Design with Multiple Measurements Missing; 3.5. Numerical Example; 3.6. Summary. 4. Filtering Problem for Time-Varying Systems4.1. Problem Formulation; 4.2. System Covariance Analysis; 4.3. Robust Filter Design; 4.4. Numerical Example; 4.5. Summary; References; Chapter 3: RANDOM COEFFICIENT MATRICES KALMAN FILTERING WITH APPLICATIONS; Abstract; 1. Introduction; 2. Random Coefficient Matrices Kalman Filtering; 2.1. Estimator of the Random Coefficient Matrices Dynamic System; 2.2. Optimal Distributed Random Coefficient Matrices Kalman Filtering Fusion; 2.3. Numerical Examples; 3. Application to Multi-Target Tracking; 3.1. Background; 3.2. Single-Sensor DAIRKF. 3.3. Multisensor DAIRKF3.4. Numerical Examples; 4. Conclusion; Appendix; Acknowledgments; References; Chapter 4: ONLINE DISTRIBUTED EVALUATION OF INTERDEPENDENT CRITICAL INFRASTRUCTURES; Abstract; 1. Introduction; 2. Interdependency Modeling: State of the Art; 3. Mixed Holistic-Reductionistic Model; 3.1. Critical Infrastructure Simulation by Interdependent Agent (CISIA); 4. MICIE Online System; 5. Consensus; 6. Consensus of Fuzzy Variables; 6.1. Fuzzy Variables and Systems; 6.2. Fuzzy Consensus; 7. Case Study; 7.1. Power Grid; 7.2. SCADA Network; 7.3. Telecommunication Network. 7.4. An Illustrative Example8. Conclusions; Acknowledgement; References; Chapter 5: NONLINEAR ESTIMATION AND FAULT DETECTION IN LARGE-SCALE INDUSTRIAL HVAC SYSTEMS; Abstract; 1. Introduction; Motivation; Previous Work; Complications; Overview; 2. HVAC Systems; Architecture; Modes; Dynamic Modes; Static Modes; Combination Modes; Failures; Classification Based on Effect; Classification Based on Onset; Model Structure; 3. Mathematical Model & Examples; Multi-Unit Hybrid System Model; Assumptions; System Model Examples; 4. General Approach; Remarks; 5. Algorithm Description; FD Algorithm. Automatic control. http://id.loc.gov/authorities/subjects/sh85010089 Nonlinear theories. http://id.loc.gov/authorities/subjects/sh85092332 Estimation theory. http://id.loc.gov/authorities/subjects/sh85044957 Commande automatique. Théories non linéaires. Théorie de l'estimation. TECHNOLOGY & ENGINEERING Automation. bisacsh TECHNOLOGY & ENGINEERING Robotics. bisacsh Automatic control fast Estimation theory fast Nonlinear theories fast Rigatos, Gerasimos G., 1971- https://id.oclc.org/worldcat/entity/E39PBJppBhrGBMvPjtCjwtfQbd http://id.loc.gov/authorities/names/n2009068041 has work: Nonlinear estimation and applications to industrial systems control (Text) https://id.oclc.org/worldcat/entity/E39PCGMB7PwrRDbWc4rKRwQg8C https://id.oclc.org/worldcat/ontology/hasWork Print version: Nonlinear estimation and applications to industrial systems control New York : Nova Science Publishers, [2012] 9781619428980 (hardcover) (DLC) 2012021584 Engineering tools, techniques and tables. http://id.loc.gov/authorities/names/no2011012899 Mathematics research developments series. http://id.loc.gov/authorities/names/no2009139785 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=541958 Volltext |
| spellingShingle | Nonlinear estimation and applications to industrial systems control / Engineering tools, techniques and tables. Mathematics research developments series. NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; NONLINEAR ESTIMATION AND APPLICATIONS TO INDUSTRIAL SYSTEMS CONTROL; LIBRARY OF CONGRESS CATALOGING-IN-PUBLICATION DATA; CONTENTS; PREFACE; Chapter 1: A GENERALIZED ROBUST FILTERING FRAMEWORK FOR NONLINEAR DIFFERENTIAL-ALGEBRAIC SYSTEMS WITH UNCERTAINTIES; Abstract; 1. Introduction; 2. Preliminaries and Problem Statement; 2.1. Filter Structure; 2.2. Disturbance Attenuation Level; 3. H1 Filter Synthesis; 4. Converting SDP into Strict LMIs; 5. Robustness Against Nonlinear Uncertainty; 6. Illustrative Example. 7. Conclusions and Future Research DirectionsReferences; Chapter 2: VARIANCE-CONSTRAINED FILTERING FOR A CLASS OF NONLINEAR STOCHASTIC SYSTEMS; Abstract; 1. Introduction; 2. Filtering Problem for Time-Invariant Systems; 2.1. Problem Formulation; 2.2. Stability and Variance Analysis; 2.3. Robust Filter Design; future. 2.4.esrmns; 3. Filtering Problem with Missing Measurements ; 3.1. Problem Formulation; 3.2. Stability and Variance Analysis; 3.3. Robust Filter Design with Measurements Missing; 3.4. Robust Filter Design with Multiple Measurements Missing; 3.5. Numerical Example; 3.6. Summary. 4. Filtering Problem for Time-Varying Systems4.1. Problem Formulation; 4.2. System Covariance Analysis; 4.3. Robust Filter Design; 4.4. Numerical Example; 4.5. Summary; References; Chapter 3: RANDOM COEFFICIENT MATRICES KALMAN FILTERING WITH APPLICATIONS; Abstract; 1. Introduction; 2. Random Coefficient Matrices Kalman Filtering; 2.1. Estimator of the Random Coefficient Matrices Dynamic System; 2.2. Optimal Distributed Random Coefficient Matrices Kalman Filtering Fusion; 2.3. Numerical Examples; 3. Application to Multi-Target Tracking; 3.1. Background; 3.2. Single-Sensor DAIRKF. 3.3. Multisensor DAIRKF3.4. Numerical Examples; 4. Conclusion; Appendix; Acknowledgments; References; Chapter 4: ONLINE DISTRIBUTED EVALUATION OF INTERDEPENDENT CRITICAL INFRASTRUCTURES; Abstract; 1. Introduction; 2. Interdependency Modeling: State of the Art; 3. Mixed Holistic-Reductionistic Model; 3.1. Critical Infrastructure Simulation by Interdependent Agent (CISIA); 4. MICIE Online System; 5. Consensus; 6. Consensus of Fuzzy Variables; 6.1. Fuzzy Variables and Systems; 6.2. Fuzzy Consensus; 7. Case Study; 7.1. Power Grid; 7.2. SCADA Network; 7.3. Telecommunication Network. 7.4. An Illustrative Example8. Conclusions; Acknowledgement; References; Chapter 5: NONLINEAR ESTIMATION AND FAULT DETECTION IN LARGE-SCALE INDUSTRIAL HVAC SYSTEMS; Abstract; 1. Introduction; Motivation; Previous Work; Complications; Overview; 2. HVAC Systems; Architecture; Modes; Dynamic Modes; Static Modes; Combination Modes; Failures; Classification Based on Effect; Classification Based on Onset; Model Structure; 3. Mathematical Model & Examples; Multi-Unit Hybrid System Model; Assumptions; System Model Examples; 4. General Approach; Remarks; 5. Algorithm Description; FD Algorithm. Automatic control. http://id.loc.gov/authorities/subjects/sh85010089 Nonlinear theories. http://id.loc.gov/authorities/subjects/sh85092332 Estimation theory. http://id.loc.gov/authorities/subjects/sh85044957 Commande automatique. Théories non linéaires. Théorie de l'estimation. TECHNOLOGY & ENGINEERING Automation. bisacsh TECHNOLOGY & ENGINEERING Robotics. bisacsh Automatic control fast Estimation theory fast Nonlinear theories fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85010089 http://id.loc.gov/authorities/subjects/sh85092332 http://id.loc.gov/authorities/subjects/sh85044957 |
| title | Nonlinear estimation and applications to industrial systems control / |
| title_auth | Nonlinear estimation and applications to industrial systems control / |
| title_exact_search | Nonlinear estimation and applications to industrial systems control / |
| title_full | Nonlinear estimation and applications to industrial systems control / Gerasimos Rigatos, editor. |
| title_fullStr | Nonlinear estimation and applications to industrial systems control / Gerasimos Rigatos, editor. |
| title_full_unstemmed | Nonlinear estimation and applications to industrial systems control / Gerasimos Rigatos, editor. |
| title_short | Nonlinear estimation and applications to industrial systems control / |
| title_sort | nonlinear estimation and applications to industrial systems control |
| topic | Automatic control. http://id.loc.gov/authorities/subjects/sh85010089 Nonlinear theories. http://id.loc.gov/authorities/subjects/sh85092332 Estimation theory. http://id.loc.gov/authorities/subjects/sh85044957 Commande automatique. Théories non linéaires. Théorie de l'estimation. TECHNOLOGY & ENGINEERING Automation. bisacsh TECHNOLOGY & ENGINEERING Robotics. bisacsh Automatic control fast Estimation theory fast Nonlinear theories fast |
| topic_facet | Automatic control. Nonlinear theories. Estimation theory. Commande automatique. Théories non linéaires. Théorie de l'estimation. TECHNOLOGY & ENGINEERING Automation. TECHNOLOGY & ENGINEERING Robotics. Automatic control Estimation theory Nonlinear theories |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=541958 |
| work_keys_str_mv | AT rigatosgerasimosg nonlinearestimationandapplicationstoindustrialsystemscontrol |