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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Analysis and Design of Markov Jump Systems with Complex Transition Probabilities

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Control techniques, the . state-feedback controllers in an adaptation sense for both categories of variations are designed such that the resulting closed-loop systems are stochastically stable and have a guaranteed . noise-attenuation performance index. Meanwhile, for the latter case, based on the concept

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2198-4182 f σ-meansquare stability is proposed such that the stability problem can be solved via a finite number of conditions. The systems involved with nonlinear dynamics (described via the Takagi-Sugeno fuzzy model) a978-3-319-80439-2978-3-319-28847-5Series ISSN 2198-4182 Series E-ISSN 2198-4190

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https://doi.org/10.1007/978-3-662-62570-5tively. The time-varying delays are considered to vary in a range and thereby more applicable in practice. In this chapter, the stability analysis and stabilization problems for a class of discrete-time Markov jump linear systems (MJLSs) with partially known transition probabilities (TPs) and time-v