Download e-book for kindle: Analysis and Design of Singular Markovian Jump Systems by Guoliang Wang,Qingling Zhang,Xinggang Yan

By Guoliang Wang,Qingling Zhang,Xinggang Yan

This monograph is an updated presentation of the research and layout of singular Markovian bounce platforms (SMJSs) within which the transition fee matrix of the underlying structures is usually doubtful, in part unknown and designed. the issues addressed comprise balance, stabilization, H∞ keep watch over and filtering, observer layout, and adaptive keep watch over. functions of Markov approach are investigated through the use of Lyapunov concept, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat’s Lemma, between different techniques.

Features of the e-book include:

·         research of the soundness challenge for SMJSs with common transition price matrices (TRMs);

·         stabilization for SMJSs by TRM layout, noise keep an eye on, proportional-derivative and partly mode-dependent keep watch over, when it comes to LMIs with and with no equation constraints;

·         mode-dependent and mode-independent H∞ keep watch over recommendations with improvement of one of those disordered controller;

·         observer-based controllers of SMJSs during which either the designed observer and controller are both mode-dependent or mode-independent;

·         attention of strong H∞ filtering when it comes to doubtful TRM or filter out parameters resulting in a style for absolutely mode-independent filtering

·         improvement of LMI-based stipulations for a category of adaptive kingdom suggestions controllers with almost-certainly-bounded expected errors and almost-certainly-asymptotically-stable corres

ponding closed-loop procedure states

·         functions of Markov approach on singular structures with norm bounded uncertainties and time-varying delays

Analysis and layout of Singular Markovian leap Systems includes necessary reference fabric for educational researchers wishing to discover the realm. The contents also are appropriate for a one-semester graduate course.

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Analysis and Design of Singular Markovian Jump Systems by Guoliang Wang,Qingling Zhang,Xinggang Yan

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