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Parameter dependent filter design for linear continuous-time uncertain systems with arbitrarily time-varying parameters in polytopic domains

机译:多主题域中具有任意时变参数的线性连续时间不确定系统的参数依赖滤波器设计

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This paper is concerned with the problem of full-order H-2 and H-infinity linear parameter varying filter design for continuous-time systems with arbitrarily time-varying parameters. The time-varying parameters belong to a polytope with known vertices, affect all the system matrices and are assumed to be available online for implementation of the filters. The synthesis conditions are formulated in terms of parameter dependent Linear Matrix Inequalities (PDLMIs). A sequence of standard LMI conditions assuring the existence of homogeneous polynomially parameter-dependent (HPPD) solutions to the parameter-dependent LMIs for filter design is provided in terms of the vertices of the polytope yielding parameter dependent filters of arbitrary degree assuring quadratic stability of the error dynamics. By definition of slack variables, extra free dimensions are provided to the parameter dependent filter design optimization problem, so method presented in this paper expected to be less conservative than the existing methods for the polytopic uncertain systems and efficiency of the method for filter design is illustrated by means of numerical comparisons with some benchmark examples from the literature. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文涉及具有任意时变参数的连续时间系统的全阶H-2和H-无穷大线性参数可变滤波器设计问题。时变参数属于具有已知顶点的多面体,会影响所有系统矩阵,并假定可在线使用以实现滤波器。根据参数相关的线性矩阵不等式(PDLMI)来制定合成条件。根据多边形的顶点产生任意程度的参数依赖的滤波器,以确保滤波器的二次稳定性,从而提供一系列标准LMI条件,以确保存在用于滤波器设计的参数依赖的LMI的均相多项式参数依赖(HPPD)解决方案。错误动态。通过定义松弛变量,为参数相关的滤波器设计优化问题提供了额外的自由尺寸,因此,本文提出的方法预期比现有的多主题不确定系统方法更不保守,并说明了滤波器设计方法的效率通过与文献中的一些基准示例进行数值比较的方式。 (C)2019 Elsevier B.V.保留所有权利。

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