Networked Nonlinear Stochastic Time-Varying Systems Analysis and Synthesis
Auteurs : Dong Hongli, Wang Zidong, Hou Nan
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.
Date de parution : 09-2021
15.6x23.4 cm
Thèmes de Networked Nonlinear Stochastic Time-Varying Systems :
Mots-clés :
Mixed Time Delays; Filter; Set Membership Filtering; Control; Filtering Error; Finite-Horizon Estimation; Distributed State Estimation Problem; Set-Membership; Time Varying Systems; Complex Networks; Stochastic Nonlinearities; Recursive Filtering; Packet Dropouts; Filtering Error Covariance; Fault Estimation Problem; Output Feedback Controller; Filtering Error Dynamics; Output Feedback Control Problem; Stochastic Analysis Techniques; Actuator Fault Matrix; Proposed Filter Design; Actuator Failure; State Estimation Problem; Positive Definite Matrices; Fault Estimation; Linear Matrix Inequality; Disturbance Attenuation Level; Distributed Filtering Problems; Filtering Error Covariance Matrix; Sensor Node; Reliable Control Problem