Variance-Constrained Filtering for Stochastic Complex Systems : Theories and Algorithms / by Jun Hu, Zidong Wang, Chaoqing Jia.

Format:

Book

Author/Creator:

Hu, Jun, Author.

Wang, Zidong., Author.

Jia, Chaoqig., Author.

Series:

Intelligent Control and Learning Systems, 2662-5466 ; 18

Language:

English

Subjects (All):

Dynamics.

Nonlinear theories.

Automatic control.

System theory.

Control theory.

Dynamical Systems.

Applied Dynamical Systems.

Control and Systems Theory.

Systems Theory, Control.

Local Subjects:

Dynamical Systems.

Applied Dynamical Systems.

Control and Systems Theory.

Systems Theory, Control.

Physical Description:

1 online resource (XV, 310 p. 127 illus., 121 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2025.

Summary:

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.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9626-37-4

OCLC:

1518265969