Networked Nonlinear Stochastic Time-Varying Systems: Analysis and Synthesis
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.
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- 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.
Networked Nonlinear Stochastic Time-Varying Systems: Analysis and Synthesis
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.
180.0
In Stock
5
1
Networked Nonlinear Stochastic Time-Varying Systems: Analysis and Synthesis
278
Networked Nonlinear Stochastic Time-Varying Systems: Analysis and Synthesis
278
180.0
In Stock
Product Details
| ISBN-13: | 9781032038780 |
|---|---|
| Publisher: | CRC Press |
| Publication date: | 09/10/2021 |
| Pages: | 278 |
| Product dimensions: | 6.12(w) x 9.19(h) x (d) |
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