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LMI Relaxations for Reduced-Order Robust Control of Continuous-Time Uncertain Linear Systems

机译:LMI松弛用于连续时间不确定线性系统的降阶鲁棒控制

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This technical note is concerned with the problem of reduced order robust ${cal H}_{infty}$ dynamic output feedback control design for uncertain continuous-time linear systems. The uncertain time-invariant parameters belong to a polytopic domain and affect all the system matrices. The search for a reduced-order controller is converted in a problem of static output feedback control design for an augmented system. To solve the problem, a two-stage linear matrix inequality (LMI) procedure is proposed. At the first step, a stabilizing state feedback scheduled controller with polynomial or rational dependence on the parameters is determined. This parameter-dependent state feedback controller is used at the second stage, which synthesizes the robust (parameter-independent) output feedback ${cal H}_{infty}$ dynamic controller. A homogeneous polynomially parameter-dependent Lyapunov function of arbitrary degree is used to assess closed-loop stability with a prescribed ${cal H}_{infty}$ attenuation level. As illustrated by numerical examples, the proposed method provides better results than other LMI based conditions from the literature.
机译:该技术说明涉及不确定连续时间线性系统的降阶鲁棒$ {cal H} _ {infty} $动态输出反馈控制设计问题。不确定的时不变参数属于一个多主题域,并影响所有系统矩阵。在针对增强系统的静态输出反馈控制设计问题中,转换了对降阶控制器的搜索。为了解决该问题,提出了两阶段线性矩阵不等式(LMI)程序。在第一步,确定对参数具有多项式或有理依赖性的稳定状态反馈调度控制器。在第二阶段使用此依赖于参数的状态反馈控制器,该控制器综合了鲁棒的(与参数无关的)输出反馈$ {cal H} _ {infty} $动态控制器。任意阶的均一多项式参数相关的Lyapunov函数用于评估具有规定的衰减水平的闭环稳定性。如数值示例所示,与文献中其他基于LMI的条件相比,所提出的方法提供了更好的结果。

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