Variance-Constrained Filtering for Stochastic Complex Systems : Theories and Algorithms / / by Jun Hu, Zidong Wang, Chaoqing Jia
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| Autore: |
Hu Jun
|
| Titolo: |
Variance-Constrained Filtering for Stochastic Complex Systems : Theories and Algorithms / / by Jun Hu, Zidong Wang, Chaoqing Jia
|
| Pubblicazione: | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Edizione: | 1st ed. 2025. |
| Descrizione fisica: | 1 online resource (XV, 310 p. 127 illus., 121 illus. in color.) |
| Disciplina: | 515.39 |
| Soggetto topico: | Dynamics |
| Nonlinear theories | |
| Automatic control | |
| System theory | |
| Control theory | |
| Dynamical Systems | |
| Applied Dynamical Systems | |
| Control and Systems Theory | |
| Systems Theory, Control | |
| Sistemes complexos | |
| Estadística matemàtica | |
| Teoria ergòdica | |
| Sistemes estocàstics | |
| Vibració | |
| Soggetto genere / forma: | Llibres electrònics |
| Persona (resp. second.): | WangZidong |
| JiaChaoqig | |
| Nota di contenuto: | Introduction -- Recursive Filtering and Boundedness Analysis with ROQ -- Resilient Filtering with Stochastic Uncertainties and Incomplete Measurements -- Event-Triggered Resilient Filtering with Stochastic Uncertainties and SPDs -- Event-triggered Filtering with Missing Measurements -- Fault Estimation Against Randomly Occurring Deception Attacks -- Fault Estimation with Packet Dropouts and ROUs -- Fault Estimation with Randomly Occurring Faults and Sensor Saturations -- State Estimation for Complex Networks with Missing Measurements -- Quantized State Estimation for Complex Networks with Uncertain Inner Coupling -- Event-Based State Estimation for Complex Networks under UOPs -- Event-Based State Estimation for Complex Networks with Fading Observations and UST -- State Estimation for Complex Networks with Uncertain Observations and Coupling Strength -- Conclusions and Future Work. |
| Sommario/riassunto: | This book is concerned with the variance-constrained optimized filtering problems and their potential applications for nonlinear time-varying dynamical systems. The distinguished features of this book are highlighted as follows. (1) A unified framework is provided for handling the variance-constrained filtering problems of nonlinear time-varying dynamical systems with incomplete information. (2) The application potentials of variance-constrained optimized filtering in networked time-varying dynamical systems are outlined. It contains some new concepts, new models and new methodologies with practical significance in control engineering and signal processing. It is a collection of several research results and thereby serves as a useful reference for upper undergraduate, postgraduate and engineers who are interested in studying (i) the variance-constrained filtering, (ii) recent advances affected by incomplete information and (iii) potential applications in practical engineering systems. |
| Titolo autorizzato: | Variance-Constrained Filtering for Stochastic Complex Systems |
| ISBN: | 981-9626-37-4 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910999684703321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Intelligent Control and Learning Systems, . 2662-5466 ; ; 18