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

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發(fā)表于 2025-3-21 17:21:58 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Analysis and Design of Singular Markovian Jump Systems
影響因子2023Guoliang Wang,Qingling Zhang,Xinggang Yan
視頻videohttp://file.papertrans.cn/157/156205/156205.mp4
發(fā)行地址Expands reader understanding of a class of systems important in control of electrical, economic, chemical-process and mechanical systems.Gives examples of application in two classes of singular system
圖書封面Titlebook: Analysis and Design of Singular Markovian Jump Systems;  Guoliang Wang,Qingling Zhang,Xinggang Yan Book 2015 Springer International Publish
影響因子.This monograph is an up-to-date presentation of the analysis and design of singular Markovian jump systems (SMJSs) in which the transition rate matrix of the underlying systems is generally uncertain, partially unknown and designed. The problems addressed include stability, stabilization, H∞ control and filtering, observer design, and adaptive control. applications of Markov process are investigated by using Lyapunov theory, linear matrix inequalities (LMIs), S-procedure and the stochastic Barbalat’s Lemma, among other techniques..Features of the book include:.·???????? study of the stability problem for SMJSs with general transition rate matrices (TRMs);.·???????? stabilization for SMJSs?by TRM design, noise control, proportional-derivative and partially mode-dependent control, in terms of LMIs with and without equation constraints;.·???????? mode-dependent and mode-independent H∞ control solutions with development of a type of disordered controller;.·???????? observer-based controllers of SMJSs in which both the designed observer and controller are either mode-dependent or mode-independent;.·???????? consideration of robust H∞ filtering in terms of uncertain TRM or filter parame
Pindex Book 2015
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Book 2015x of the underlying systems is generally uncertain, partially unknown and designed. The problems addressed include stability, stabilization, H∞ control and filtering, observer design, and adaptive control. applications of Markov process are investigated by using Lyapunov theory, linear matrix inequa
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Zusammenfassung der Ergebnisse,can be designed, the stabilization for SMJSs is also discussed. Various controllers based on noise control, proportional-derivative (PD) control and partially mode-dependent (PMD) control, are proposed. These controllers are formulated in terms of LMIs or LMIs with equation constraints, which can be solved easily.
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https://doi.org/10.1007/978-3-642-86402-5tem is described by a Markov process, whose distribution property is also considered. Sufficient conditions for the solvability of delay-distribution-dependent stability with both exact known or uncertain TRMs are derived, and state feedback controllers depending on such a distribution are designed via the LMI approach.
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