State feedback fuzzy-model-based control for discrete-time markovian jump nonlinear systems with time-varying delays

M. Song, Jin Bae Park, Y. Joo, Jin-Kyu Kim
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引用次数: 3

Abstract

In this paper, the stability analysis and stabilization problem for a discrete-time Markovian jump nonlinear systems (MJLNS) with time-varying delays are investigated. The time-delay is considered to be time-varying and has a upper bound. The transition probabilities of the mode jumps are considered to be completely known. Sufficient conditions for stochastic stability of the markovian jump fuzzy systems (MJFS) are derived via the linear matrix inequality (LMI) formulation, and the design of the stabilizing controller is further given. A numerical example is used to illustrate the developed theory.
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时变时滞离散马尔可夫跳变非线性系统的状态反馈模糊模型控制
研究了一类具有时变时滞的离散马尔可夫跳变非线性系统的稳定性分析和镇定问题。时滞被认为是时变的,并且有上界。模跃的跃迁概率被认为是完全已知的。利用线性矩阵不等式(LMI)公式推导了马尔可夫跳变模糊系统(MJFS)随机稳定的充分条件,并进一步给出了稳定控制器的设计。最后用一个数值算例说明了所建立的理论。
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