Advances in state estimation, diagnosis and control of complex systems / / Ye Wang |
Autore | Wang Ye <active 2021> |
Edizione | [1st edition 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (XXVII, 237 p. 64 illus., 49 illus. in color.) |
Disciplina | 629.80151 |
Collana | Springer Theses, Recognizing Outstanding Ph.D. Research |
Soggetto topico |
Automatic control - Mathematics
Observers (Control theory) |
ISBN | 3-030-52440-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- Set-based State Estimation Approaches for Descriptor Systems -- Distributed Set-membership Approach based on Zonotopes -- Set-based Fault Detection and Isolation for Descriptor Systems -- Set-based Fault Estimation for Descriptor Systems. |
Record Nr. | UNINA-9910484052103321 |
Wang Ye <active 2021>
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Mathematical problems of control theory [[electronic resource] ] : an introduction / / Gennady A. Leonov |
Autore | Leonov G. A (Gennadiĭ Alekseevich) |
Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2001 |
Descrizione fisica | 1 online resource (182 p.) |
Disciplina |
629.80151
629.8312 |
Collana | Series on stability, vibration and control of systems, Series A |
Soggetto topico | Control theory - Mathematical models |
Soggetto genere / forma | Electronic books. |
ISBN |
1-281-95140-4
9786611951405 981-279-985-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Preface; Chapter 1 The Watt governor and the mathematical theory of stability of motion; 1.1 The Watt flyball governor and its modifications; 1.2 The Hermite-Mikhailov criterion; 1.3 Theorem on stability by the linear approximation
1.4 The Watt governor transient processes Chapter 2 Linear electric circuits. Transfer functions and frequency responses of linear blocks; 2.1 Description of linear blocks; 2.2 Transfer functions and frequency responses of linear blocks; Chapter 3 Controllability, observability, stabilization; 3.1 Controllability 3.2 Observability 3.3 A special form of the systems with controllable pair (A,b); 3.4 Stabilization. The Nyquist criterion; 3.5 The time-varying stabilization. The Brockett problem; Chapter 4 Two-dimensional control systems. Phase portraits; 4.1 An autopilot and spacecraft orientation system 4.2 A synchronous electric machine control and phase locked loops 4.3 The mathematical theory of populations; Chapter 5 Discrete systems; 5.1 Motivation; 5.2 Linear discrete systems; 5.3 The discrete phase locked loops for array processors Chapter 6 The Aizerman conjecture. The Popov method Bibliography; Index |
Record Nr. | UNINA-9910454409003321 |
Leonov G. A (Gennadiĭ Alekseevich)
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Singapore ; ; River Edge, NJ, : World Scientific, c2001 | ||
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Lo trovi qui: Univ. Federico II | ||
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Mathematical problems of control theory [[electronic resource] ] : an introduction / / Gennady A. Leonov |
Autore | Leonov G. A (Gennadiĭ Alekseevich) |
Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2001 |
Descrizione fisica | 1 online resource (182 p.) |
Disciplina |
629.80151
629.8312 |
Collana | Series on stability, vibration and control of systems, Series A |
Soggetto topico | Control theory - Mathematical models |
ISBN |
1-281-95140-4
9786611951405 981-279-985-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Preface; Chapter 1 The Watt governor and the mathematical theory of stability of motion; 1.1 The Watt flyball governor and its modifications; 1.2 The Hermite-Mikhailov criterion; 1.3 Theorem on stability by the linear approximation
1.4 The Watt governor transient processes Chapter 2 Linear electric circuits. Transfer functions and frequency responses of linear blocks; 2.1 Description of linear blocks; 2.2 Transfer functions and frequency responses of linear blocks; Chapter 3 Controllability, observability, stabilization; 3.1 Controllability 3.2 Observability 3.3 A special form of the systems with controllable pair (A,b); 3.4 Stabilization. The Nyquist criterion; 3.5 The time-varying stabilization. The Brockett problem; Chapter 4 Two-dimensional control systems. Phase portraits; 4.1 An autopilot and spacecraft orientation system 4.2 A synchronous electric machine control and phase locked loops 4.3 The mathematical theory of populations; Chapter 5 Discrete systems; 5.1 Motivation; 5.2 Linear discrete systems; 5.3 The discrete phase locked loops for array processors Chapter 6 The Aizerman conjecture. The Popov method Bibliography; Index |
Record Nr. | UNINA-9910782396403321 |
Leonov G. A (Gennadiĭ Alekseevich)
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Singapore ; ; River Edge, NJ, : World Scientific, c2001 | ||
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Lo trovi qui: Univ. Federico II | ||
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Mathematical problems of control theory : an introduction / / Gennady A. Leonov |
Autore | Leonov G. A (Gennadii Alekseevich) |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Singapore ; ; River Edge, NJ, : World Scientific, c2001 |
Descrizione fisica | 1 online resource (182 p.) |
Disciplina |
629.80151
629.8312 |
Collana | Series on stability, vibration and control of systems, Series A |
Soggetto topico | Control theory - Mathematical models |
ISBN |
1-281-95140-4
9786611951405 981-279-985-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Contents; Preface; Chapter 1 The Watt governor and the mathematical theory of stability of motion; 1.1 The Watt flyball governor and its modifications; 1.2 The Hermite-Mikhailov criterion; 1.3 Theorem on stability by the linear approximation
1.4 The Watt governor transient processes Chapter 2 Linear electric circuits. Transfer functions and frequency responses of linear blocks; 2.1 Description of linear blocks; 2.2 Transfer functions and frequency responses of linear blocks; Chapter 3 Controllability, observability, stabilization; 3.1 Controllability 3.2 Observability 3.3 A special form of the systems with controllable pair (A,b); 3.4 Stabilization. The Nyquist criterion; 3.5 The time-varying stabilization. The Brockett problem; Chapter 4 Two-dimensional control systems. Phase portraits; 4.1 An autopilot and spacecraft orientation system 4.2 A synchronous electric machine control and phase locked loops 4.3 The mathematical theory of populations; Chapter 5 Discrete systems; 5.1 Motivation; 5.2 Linear discrete systems; 5.3 The discrete phase locked loops for array processors Chapter 6 The Aizerman conjecture. The Popov method Bibliography; Index |
Record Nr. | UNINA-9910826997603321 |
Leonov G. A (Gennadii Alekseevich)
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Singapore ; ; River Edge, NJ, : World Scientific, c2001 | ||
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Lo trovi qui: Univ. Federico II | ||
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Multiple models approach in automation [[electronic resource] ] : takagi-sugeno fuzzy systems / / Mohammed Chadli, Pierre Borne ; series editor, Bernard Dubuisson |
Autore | Chadli Mohammed |
Edizione | [1st edition] |
Pubbl/distr/stampa | London, : ISTE |
Descrizione fisica | 1 online resource (204 p.) |
Disciplina |
004.1
629.80151 |
Altri autori (Persone) |
BornePierre
DubuissonBernard |
Collana | Automation - control and industrial engineering series |
Soggetto topico |
Automation
Fuzzy systems |
ISBN |
1-118-57732-9
1-299-18659-9 1-118-57729-9 1-118-57722-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Title Page; Contents; Notations; Introduction; Chapter 1. Multiple Model Representation; 1.1. Introduction; 1.2. Techniques for obtaining multiple models; 1.2.1. Construction of multiple models by identification; 1.2.2. Multiple model construction by linearization; 1.2.3. Multiple model construction by mathematical transformation; 1.2.4. Multiple model representation using the neural approach; 1.3. Analysis and synthesis tools; 1.3.1. Lyapunov approach; 1.3.2. Numeric tools: linear matrix inequalities; 1.3.3. Multiple model control techniques
Chapter 2. Stability of Continuous Multiple Models2.1. Introduction; 2.2. Stability analysis; 2.2.1. Exponential stability; 2.3. Relaxed stability; 2.4. Example; 2.5. Robust stability; 2.5.1. Norm-bounded uncertainties; 2.5.2. Structured parametric uncertainties; 2.5.3. Analysis of nominal stability; 2.5.4. Analysis of robust stability; 2.6. Conclusion; Chapter 3. Multiple Model State Estimation; 3.1. Introduction; 3.2. Synthesis of multiple observers; 3.2.1. Linearization; 3.2.2. Pole placement; 3.2.3. Application: asynchronous machine; 3.2.4. Synthesis of multiple observers 3.3. Multiple observer for an uncertain multiple model3.4. Synthesis of unknown input observers; 3.4.1. Unknown inputs affecting system state; 3.4.2. Unknown inputs affecting system state and output; 3.4.3. Estimation of unknown inputs; 3.5. Synthesis of unknown input observers: another approach; 3.5.1. Principle; 3.5.2. Multiple observers subject to unknown inputs and uncertainties; 3.6. Conclusion; Chapter 4. Stabilization of Multiple Models; 4.1. Introduction; 4.2. Full state feedback control; 4.2.1. Linearization; 4.2.2. Specific case; 4.2.3. α-stability: decay rate 4.3. Observer-based controller4.3.1. Unmeasurable decision variables; 4.4. Static output feedback control; 4.4.1. Pole placement; 4.5. Conclusion; Chapter 5. Robust Stabilization of Multiple Models; 5.1. Introduction; 5.2. State feedback control.; 5.2.1. Norm-bounded uncertainties; 5.2.2. Interval uncertainties; 5.3. Output feedback control; 5.3.1. Norm-bounded uncertainties; 5.3.2. Interval uncertainties; 5.4. Observer-based control; 5.5. Conclusion; Conclusion; APPENDICES; Appendix 1: LMI Regions; A1.1. Definition of an LMI region; A1.2. Interesting LMI region examples A1.2.1. Open left half-planeA1.2.2. α-stability; A1.2.3. Vertical band; A1.2.4. Horizontal band; A1.2.5. Disk of radius R, centered at (q,0); A1.2.6. Conical sector.; Appendix 2: Properties of M-Matrices; Appendix 3: Stability and Comparison Systems; A3.1. Vector norms and overvaluing systems; A3.1.1. Definition of a vector norm; A3.1.2. Definition of a system overvalued from a continuous process; A3.1.3. Application; A3.2. Vector norms and the principle of comparison; A3.3. Application to stability analysis; Bibliography; Index |
Record Nr. | UNINA-9910141495503321 |
Chadli Mohammed
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London, : ISTE | ||
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Lo trovi qui: Univ. Federico II | ||
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Multiple models approach in automation : takagi-sugeno fuzzy systems / / Mohammed Chadli, Pierre Borne ; series editor, Bernard Dubuisson |
Autore | Chadli Mohammed |
Edizione | [1st edition] |
Pubbl/distr/stampa | London, : ISTE |
Descrizione fisica | 1 online resource (204 p.) |
Disciplina |
004.1
629.80151 |
Altri autori (Persone) |
BornePierre
DubuissonBernard |
Collana | Automation - control and industrial engineering series |
Soggetto topico |
Automation
Fuzzy systems |
ISBN |
1-118-57732-9
1-299-18659-9 1-118-57729-9 1-118-57722-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Title Page; Contents; Notations; Introduction; Chapter 1. Multiple Model Representation; 1.1. Introduction; 1.2. Techniques for obtaining multiple models; 1.2.1. Construction of multiple models by identification; 1.2.2. Multiple model construction by linearization; 1.2.3. Multiple model construction by mathematical transformation; 1.2.4. Multiple model representation using the neural approach; 1.3. Analysis and synthesis tools; 1.3.1. Lyapunov approach; 1.3.2. Numeric tools: linear matrix inequalities; 1.3.3. Multiple model control techniques
Chapter 2. Stability of Continuous Multiple Models2.1. Introduction; 2.2. Stability analysis; 2.2.1. Exponential stability; 2.3. Relaxed stability; 2.4. Example; 2.5. Robust stability; 2.5.1. Norm-bounded uncertainties; 2.5.2. Structured parametric uncertainties; 2.5.3. Analysis of nominal stability; 2.5.4. Analysis of robust stability; 2.6. Conclusion; Chapter 3. Multiple Model State Estimation; 3.1. Introduction; 3.2. Synthesis of multiple observers; 3.2.1. Linearization; 3.2.2. Pole placement; 3.2.3. Application: asynchronous machine; 3.2.4. Synthesis of multiple observers 3.3. Multiple observer for an uncertain multiple model3.4. Synthesis of unknown input observers; 3.4.1. Unknown inputs affecting system state; 3.4.2. Unknown inputs affecting system state and output; 3.4.3. Estimation of unknown inputs; 3.5. Synthesis of unknown input observers: another approach; 3.5.1. Principle; 3.5.2. Multiple observers subject to unknown inputs and uncertainties; 3.6. Conclusion; Chapter 4. Stabilization of Multiple Models; 4.1. Introduction; 4.2. Full state feedback control; 4.2.1. Linearization; 4.2.2. Specific case; 4.2.3. α-stability: decay rate 4.3. Observer-based controller4.3.1. Unmeasurable decision variables; 4.4. Static output feedback control; 4.4.1. Pole placement; 4.5. Conclusion; Chapter 5. Robust Stabilization of Multiple Models; 5.1. Introduction; 5.2. State feedback control.; 5.2.1. Norm-bounded uncertainties; 5.2.2. Interval uncertainties; 5.3. Output feedback control; 5.3.1. Norm-bounded uncertainties; 5.3.2. Interval uncertainties; 5.4. Observer-based control; 5.5. Conclusion; Conclusion; APPENDICES; Appendix 1: LMI Regions; A1.1. Definition of an LMI region; A1.2. Interesting LMI region examples A1.2.1. Open left half-planeA1.2.2. α-stability; A1.2.3. Vertical band; A1.2.4. Horizontal band; A1.2.5. Disk of radius R, centered at (q,0); A1.2.6. Conical sector.; Appendix 2: Properties of M-Matrices; Appendix 3: Stability and Comparison Systems; A3.1. Vector norms and overvaluing systems; A3.1.1. Definition of a vector norm; A3.1.2. Definition of a system overvalued from a continuous process; A3.1.3. Application; A3.2. Vector norms and the principle of comparison; A3.3. Application to stability analysis; Bibliography; Index |
Altri titoli varianti | Takagi-Sugeno fuzzy systems |
Record Nr. | UNINA-9910825968103321 |
Chadli Mohammed
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London, : ISTE | ||
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Lo trovi qui: Univ. Federico II | ||
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