Titlebook: Analysis and Design of Singular Markovian Jump Systems; Guoliang Wang,Qingling Zhang,Xinggang Yan Book 2015 Springer International Publish

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Zusammenfassung der Ergebnisse,SMJSs with general TRMs is considered, in which the TRMs may be exactly known, uncertain, partially unknown and designed. The conditions guaranteeing a given SMJS stochastically admissible are expressed in terms of LMIs or LMIs with equation constraints which can be efficiently solved by using the s

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Zusammenfassung der Ergebnisse,table and has desired performances. Due to singular Markovian jump systems containing singular derivative matrix and Markov property simultaneously, the control synthesis of stabilization of the SMJSs becomes complex especially when the underlying SMJSs have some general conditions. In this chapter,

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Schulentwicklung zur Ungleichheithas been paid to this problem. This chapter focuses on the mode-independent . control problem for SMJSs. When the TRM can be selected, several sets of sufficient conditions in terms of LMIs with equation constraints are presented, where control gains can be obtained directly. When MDCs have OMs diso

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https://doi.org/10.1007/978-3-662-34033-2control problem of SMJSs with general TRMs. First, an adaption law is proposed to estimate the upper bound on the unknown parameters related to uncertain TRM. Then, a class of adaptive state feedback controllers is designed, where the parameters can be obtained by solving a set of LMIs. It is shown

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https://doi.org/10.1007/978-3-642-86402-5tion is on an uncertain singular system which has norm bounded uncertainties on system matrices. According to the maximum singular value of uncertainty, the uncertainty set is separated into several different subsets. Then, the original system without jumping is transformed into an MJS, whose switch