Variance-Constrained Filtering for Stochastic Complex Systems

• Verfasst von: Hu, Jun [VerfasserIn]
• Verfasst von: Wang, Zidong [VerfasserIn]
• Verfasst von: Jia, Chaoqing [VerfasserIn]
• Titel: Variance-Constrained Filtering for Stochastic Complex Systems
• Titelzusatz: Theories and Algorithms
• Verf.angabe: by Jun Hu, Zidong Wang, Chaoqing Jia
• Ausgabe: 1st ed. 2025.
• Verlagsort: Singapore
• Verlag: Springer Nature Singapore
• Jahr: 2025
• Umfang: 1 Online-Ressource(XV, 310 p. 127 illus., 121 illus. in color.)
• Gesamttitel/Reihe: Intelligent Control and Learning Systems ; 18
• ISBN: 978-981-9626-37-3
• DOI: doi:10.1007/978-981-96-2637-3
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe: Hu, Jun: Variance-constrained filtering for stochastic complex systems. - Singapore : Springer Nature Singapore, 2025. - xv, 310 Seiten
• K10plus-PPN: 1924769212
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

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.

Abstract

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.