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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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發(fā)表于 2025-3-21 17:37:19 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Analysis and Design of Markov Jump Systems with Complex Transition Probabilities
影響因子2023Lixian Zhang,Ting Yang,Yanzheng Zhu
視頻videohttp://file.papertrans.cn/157/156193/156193.mp4
發(fā)行地址Studies the Markov jump systems for practical applications by considering uncertain, partially known, and time-varying Transition Probabilities.Addresses the control issues such as stability analysis,
學(xué)科分類Studies in Systems, Decision and Control
圖書封面Titlebook: Analysis and Design of Markov Jump Systems with Complex Transition Probabilities;  Lixian Zhang,Ting Yang,Yanzheng Zhu Book 2016 Springer I
影響因子.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 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 control of systems with time-varying delays, the case involved with both partially unknown TPs and uncertain TPs in a composite way are also tackled. Part II deals with the Markov jump systems with piecewise homogeneous TPs. Methodologies that can effectively handle control problems in the scenario are developed, including the one coping with the asynchronous switching phenomenon between the currently activated system mode and the controller/filter to be designed. Part III focuses on the Markov jump systems with memory TPs. The concept of 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) a
Pindex Book 2016
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書目名稱Analysis and Design of Markov Jump Systems with Complex Transition Probabilities影響因子(影響力)




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沙發(fā)
發(fā)表于 2025-3-21 23:14:49 | 只看該作者
Model Reductionmogeneous TPs, a generalized framework covering the two kinds of variation is proposed. The model reduction results for the underlying systems are obtained in . sense. A numerical example is presented to illustrate the effectiveness and potential of the developed theoretical results.
板凳
發(fā)表于 2025-3-22 00:29:44 | 只看該作者
地板
發(fā)表于 2025-3-22 06:05:47 | 只看該作者
Physica-Schriften zur Betriebswirtschaft the cross coupling between system matrices and Lyapunov matrices among different operation modes. Finally, the existence criterion of the desired filter is obtained such that the corresponding filtering error system is stochastically stable with a guaranteed . performance index.
5#
發(fā)表于 2025-3-22 08:44:51 | 只看該作者
https://doi.org/10.1007/978-3-662-34067-7rs, the Markov process or Markov chain has been widely used to describe the switching behaviors, and the corresponding systems are termed as Markov jump systems in the literature. This chapter will give an introduction for this class of dynamic systems.
6#
發(fā)表于 2025-3-22 13:34:19 | 只看該作者
https://doi.org/10.1007/978-3-662-62570-5ion for the underlying system is derived. Furthermore, a monotonicity is observed in concern of the maximum value of a given scalar which bounds the stochastic perturbation that the system can tolerate as the level of the defectiveness?varies.
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發(fā)表于 2025-3-22 20:56:42 | 只看該作者
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發(fā)表于 2025-3-23 00:44:31 | 只看該作者
,Die soziale Dimension der P?dagogik,servative 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.
9#
發(fā)表于 2025-3-23 03:03:31 | 只看該作者
Introduction,rs, the Markov process or Markov chain has been widely used to describe the switching behaviors, and the corresponding systems are termed as Markov jump systems in the literature. This chapter will give an introduction for this class of dynamic systems.
10#
發(fā)表于 2025-3-23 05:43:37 | 只看該作者
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