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Robust output feedback controller design via genetic algorithms and LMIs: the mixed /spl Hscr//sub 2///spl Hscr//sub /spl infin// problem

机译:通过遗传算法和LMI进行可靠的输出反馈控制器设计:混合的/ spl Hscr // sub 2 /// spl Hscr // sub / spl infin //问题

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This paper deals with the mixed /spl Hscr//sub 2///spl Hscr//sub /spl infin// control problem for uncertain continuous-time linear systems. The polytopic parametric uncertainties are studied. Based on genetic algorithms (GAs) and linear matrix inequalities (LMIs), a hybrid algorithm is presented for numerical computation of an optimal fixed-order static or dynamic output feedback robust controller. The genetic algorithm is used to obtain the population of controllers and the LMI based routines are used to minimize some performance criterion. The problem is formulated in terms of different Lyapunov functions. This approach can be used for synthesis of reduced or full-order controllers. Some examples borrowed from the literature are discussed to illustrate and validate this approach.
机译:本文研究了不确定连续时间线性系统的混合/ spl Hscr // sub 2 //// spl Hscr // sub / spl infin //控制问题。研究了多参数参量不确定性。基于遗传算法(GAs)和线性矩阵不等式(LMIs),提出了一种混合算法,用于最优固定阶静态或动态输出反馈鲁棒控制器的数值计算。遗传算法用于获取控制器的数量,而基于LMI的例程用于最小化某些性能标准。该问题是根据不同的Lyapunov函数来表述的。该方法可用于降阶或全序控制器的综合。讨论了一些从文献中借来的例子,以说明和验证这种方法。

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