Networked Nonlinear Stochastic Time-Varying Systems

<p>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.</p><ul> <p> </p> <li>Offers a comprehensive treatment of the topics related to Networked Nonlinear Stochastic Time-Varying Systems with rigorous math foundation and derivation </li> <p> </p> <li>Unifies existing and emerging concepts concerning control/filtering/estimation and distributed filtering </li> <p> </p> <li>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 </li> <p> </p> <li>Demonstrates illustrative examples in each chapter to verify the correctness of the proposed results</li> </ul><p>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.</p>