时滞T-S模糊不确定网络系统的指数稳定性控制

H. Yao, F. Yuan, Yue Qiao, Jinjin Cui
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引用次数: 0

摘要

研究非线性不确定网络控制系统的指数稳定性控制问题。基于T-S方法,建立了非线性网络控制系统的模型。针对时滞在不同区间取值的概率,引入满足伯努利分布的随机变量,利用该概率分布信息构建了一种新的模糊网络控制系统。利用李雅普诺夫稳定性定理,给出了均方指数稳定条件和状态反馈模糊控制器的LMI设计方法。最后,通过数值算例验证了所得结果的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exponential Stability Control for T-S Fuzzy Uncertain Networked Systems with Time Delay
This paper considers the problem of exponential stability control for nonlinear uncertain networked control systems. Based on the T-S method, a model of nonlinear networked control systems is obtained. Corresponding to the probability of the delays taking value in different interval, a stochastic variable satisfying Bernoulli distribution is introduced and a new fuzzy networked control systems is built by employing the information of the probability distribution. With the Lyapunov stability theorem, the mean-square exponential stability conditions and the state feedback fuzzy controller design methods are given in terms of LMI. Finally, a numerical example is given to demonstrate the validity of the results.
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