Networked Non-linear Stochastic Time-Varying Systems: Analysis and Synthesis copes with the filter design, fault estimation and reliable control problems for different classes of nonlinear stochastic time-varying systems with network-enhanced complexities. Divided into three parts, the book discusses the finite-horizon filtering, fault estimation and reliable control, and randomly occurring nonlinearities/uncertainties followed by designing of distributed state and fault estimators, and distributed filters. The third part includes problems of variance-constrained H state estimation, partial-nodes-based state estimation and recursive filtering for nonlinear time-varying complex networks with randomly varying topologies, and random coupling strengths.

• Offers a comprehensive treatment of the topics related to Networked Nonlinear Stochastic Time-Varying Systems with rigorous math foundation and derivation
• Unifies existing and emerging concepts concerning control/filtering/estimation and distributed filtering
• Provides a series of latest results by drawing on the conventional theories of systems science, control engineering and signal processing Deal with practical engineering problems such as event triggered H filtering, non-fragile distributed estimation, recursive filtering, set-membership filtering
• Demonstrates illustrative examples in each chapter to verify the correctness of the proposed results

This book is aimed at engineers, mathematicians, scientists, and upper-level students in the fields of control engineering, signal processing, networked control systems, robotics, data analysis, and automation.

About the Author
Hongli Dong, Zidong Wang, Nan Hou


Book Information
ISBN 9781032038803
Author Hongli Dong
Format Paperback
Page Count 256
Imprint CRC Press
Publisher Taylor & Francis Ltd
Weight(grams) 376g