Jun Hu, Zidong Wang, Chaoqing Jia

Variance-Constrained Filtering for Stochastic Complex Systems

Theories and Algorithms

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Intelligent Control and Learning Systems 18
• Verlag: Springer / Springer Nature Singapore / Springer, Berlin
• Artikelnr. des Verlages: 978-981-96-2636-6
• Seitenzahl: 328
• Erscheinungstermin: 30. April 2025
• Englisch
• Abmessung: 241mm x 160mm x 23mm
• Gewicht: 661g
• ISBN-13: 9789819626366
• ISBN-10: 9819626366
• Artikelnr.: 72546785

Inhaltsangabe

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.