Get Analysis and Design of Singular Markovian Jump Systems PDF

By Guoliang Wang,Qingling Zhang,Xinggang Yan

This monograph is an updated presentation of the research and layout of singular Markovian leap structures (SMJSs) during which the transition cost matrix of the underlying structures is usually doubtful, in part unknown and designed. the issues addressed contain balance, stabilization, H∞ keep an eye on and filtering, observer layout, and adaptive keep an eye on. functions of Markov strategy are investigated through the use of Lyapunov conception, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat’s Lemma, between different techniques.

Features of the ebook include:

·         research of the steadiness challenge for SMJSs with normal transition fee matrices (TRMs);

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

·         mode-dependent and mode-independent H∞ regulate options with improvement of one of those disordered controller;

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

·         attention of strong H∞ filtering by way of doubtful TRM or clear out parameters resulting in a mode for absolutely mode-independent filtering

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

ponding closed-loop procedure states

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

Analysis and layout of Singular Markovian bounce Systems comprises worthy reference fabric for tutorial researchers wishing to discover the world. 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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