By Guoliang Wang,Qingling Zhang,Xinggang Yan
This monograph is an up to date presentation of the research and layout of singular Markovian leap structures (SMJSs) during which the transition expense 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 procedure are investigated by utilizing Lyapunov thought, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat’s Lemma, between different techniques.
Features of the publication include:
· research of the steadiness challenge for SMJSs with normal transition price matrices (TRMs);
· stabilization for SMJSs by TRM layout, noise regulate, proportional-derivative and in part mode-dependent keep an eye on, by way of LMIs with and with no equation constraints;
· mode-dependent and mode-independent H∞ regulate recommendations with improvement of a kind of 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 by way of doubtful TRM or clear out parameters resulting in a mode for completely mode-independent filtering
· improvement of LMI-based stipulations for a category of adaptive nation suggestions controllers with almost-certainly-bounded expected mistakes and almost-certainly-asymptotically-stable corres
ponding closed-loop approach states
· purposes of Markov technique on singular platforms with norm bounded uncertainties and time-varying delays
Analysis and layout of Singular Markovian bounce Systems comprises important reference fabric for tutorial researchers wishing to discover the world. The contents also are compatible for a one-semester graduate course.
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Extra resources for Analysis and Design of Singular Markovian Jump Systems
Analysis and Design of Singular Markovian Jump Systems by Guoliang Wang,Qingling Zhang,Xinggang Yan