Titlebook: Analysis and Design of Markov Jump Systems with Complex Transition Probabilities; Lixian Zhang,Ting Yang,Yanzheng Zhu Book 2016 Springer I

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-Error Stability and Stabilizationpt generalizing the traditional mean square stability is proposed such that numerically testable criteria on the basis of SMK are obtained. Numerical examples are presented to illustrate the validity and advantage of the developed theoretical results.

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Nonlinear Systems Caseservative and more practical. Then, control synthesis problem is investigated and the sufficient conditions on the existence of admissible mode-dependent state-feedback stabilizing controller are developed. A numerical example and a cart-pendulum system are given to show the effectiveness and potential of the new design techniques.

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2198-4182 ies.Addresses the control issues such as stability analysis,.The book addresses the control issues such as stability analysis, control synthesis and filter design of Markov jump systems with the above three types of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump sys

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Book 2016es of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump systems with partially unknown TPs. Different methodologies with different conservatism for the basic stability and stabilization problems are developed and compared. Then the problems of state estimation, the con

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https://doi.org/10.1007/978-3-319-28847-5Stochastic Switching Systems; Complex Transition Probabilities; Stability analysis; Control synthesis; F

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978-3-319-80439-2Springer International Publishing Switzerland 2016

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Physica-Schriften zur Betriebswirtschaft. A mode-dependent full-order filter is constructed and the bounded real lemma (BRL) for the resulting filtering error system is derived via linear matrix inequality (LMI) formulation. Then, an improved version of the BRL is further given by introducing additional slack matrix variables to eliminate