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Robust fuzzy control for nonlinear impulsive stochastic systems with Markov jumps and delay

机译:具有马尔可夫跳跃和时滞的非线性脉冲随机系统的鲁棒模糊控制。

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This paper deals with the robust fuzzy control for a class of nonlinear impulsive stochastic delay systems with Markov jumps. The nonlinear systems under consideration are represented by the Takagi-Sugeno (T-S) fuzzy model because of the difficulty of solving that. Firstly, the criterion of mean square exponential stability is established. Secondly, based on the idea of parallel distributed compensation (PDC), the exponentially stabilized state-feedback fuzzy controllers are designed via solving a set of matrix inequalities. Finally, a numerical example is given to show the correctness and effectiveness of the theoretical results. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文针对一类具有马尔可夫跳跃的非线性脉冲随机时滞系统的鲁棒模糊控制。由于难以解决,因此所考虑的非线性系统由Takagi-Sugeno(T-S)模糊模型表示。首先,建立均方指数稳定性的判据。其次,基于并行分布补偿(PDC)的思想,通过求解一组矩阵不等式,设计了指数稳定的状态反馈模糊控制器。最后,通过数值例子说明了理论结果的正确性和有效性。 (C)2019 Elsevier B.V.保留所有权利。

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