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Stabilization of fuzzy retarded systems with input and state delays

机译:具有输入和状态时滞的模糊滞后系统的镇定

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In this study, a stabilization problem for continuous-time fuzzy systems subject to multiple time-varying delays in both state and input variables is addressed. Based on Lyapunov-Krasovskii functional and Po´lya theorem, a sufficient stabilization condition is stated in terms of LMIs. Therefore, stabilizing controllers can be obtained easily by existing convex algorithms. Unlike some existing methods, this paper applies polynomial theory to deal with input-delay term u(t — σ(t)) since this delay term introduces an additional summation after defuzzification. Lastly, an example is given to illustrate the advantages of the proposed machinery, yielding more relaxed results when compared to existing methods.
机译:在本研究中,解决了在两个状态和输入变量中经过多个时变延迟的连续时间模糊系统的稳定问题。基于Lyapunov-Krasovskii功能和Po'lya定理,在LMIS方面表明了足够的稳定条件。因此,可以通过现有的凸算法容易地获得稳定控制器。与某些现有方法不同,本文适用多项式理论来处理输入延迟术语U(T - Σ(T)),因为该延迟期在Defuzzzification之后引入了另外的求和。最后,给出了一个示例来说明所提出的机器的优点,与现有方法相比,产生更轻松的结果。

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