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Robust stabilization for delayed discrete-time fuzzy systems via basis-dependent Lyapunov-Krasovskii function

机译:通过依赖基数的Lyapunov-Krasovskii函数对延迟离散时间模糊系统进行鲁棒镇定

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摘要

This paper deals with the robust control problem for a class of uncertain discrete-time fuzzy systems with time delay. The uncertainty is assumed to be of structured linear fractional form, which includes the norm-bourtded uncertainty as a special case and can describe a class of rational nonlinearities. By using basis-dependent Lyapunov-Krasovskii function, a robust control design approach is developed. The control design approach is facilitated by introducing some additional instrumental matrix variables. These additional matrix variables decouple the Lyapunov-Krasovskii and the system matrices, which make the control design feasible. The proposed approach leads to some sufficient results in the form of strict linear matrix inequalities (LMIs). The development represents an important step towards reducing the conservatism of previous design methods, and the results also generalize earlier works for a more general parametric uncertainty structure. Numerical examples are also given to demonstrate the applicability of the proposed approach.
机译:针对一类具有时滞的不确定离散时间模糊系统,研究了其鲁棒控制问题。不确定性被假定为结构化线性分数形式,其中包括规范性不确定性作为特殊情况,并且可以描述一类有理非线性。通过使用基于基的Lyapunov-Krasovskii函数,开发了一种鲁棒的控制设计方法。通过引入一些附加的仪器矩阵变量,可以简化控制设计方法。这些附加的矩阵变量使Lyapunov-Krasovskii与系统矩阵解耦,从而使控制设计可行。所提出的方法以严格的线性矩阵不等式(LMI)形式产生了一些足够的结果。这项进展是朝着减少先前设计方法的保守性迈出的重要一步,并且结果也将更早的工作推广到了更一般的参数不确定性结构。数值例子也证明了该方法的适用性。

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