Networked Nonlinear Stochastic Time-Varying Systems : Analysis and Synthesis

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Networked Nonlinear Stochastic Time-Varying Systems : Analysis and Synthesis

Dong, Hongli/ Wang, Zidong/ Hou, Nan

ウェブストア価格 ¥13,004（本体¥11,822）
CRC Press（2024/10発売）
外貨定価 US$ 61.99
ポイント 118pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 256 p.
言語 ENG
商品コード 9781032038803
DDC分類 003.76

Full Description

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.

1. Introduction 2. Event-Triggered Multi-objective Filtering and Control 3. Finite-Horizon Reliable Control Subject to Output Quantization 4. Finite-Horizon Estimation of Randomly Occurring Faults 5. Set-Membership Filtering under Weighted Try-Once-Discard Protocol 6. Distributed Estimation over Sensor Network 7. State Estimation for Complex Networks 8. Event-Triggered Recursive Filtering for Complex Networks with Random Coupling Strengths 9. Conclusions and Future Work