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LMI conditions for robust stability analysis based on polynomially parameter-dependent Lyapunov functions

机译:基于多项式参数相关的Lyapunov函数的鲁棒稳定性分析的LMI条件

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摘要

The robust stability of uncertain linear systems in polytopic domains is investigated in this paper. The main contribution is to provide a systematic procedure for generating sufficient robust stability linear matrix inequality conditions based on homogeneous polynomially parameter-dependent Lyapunov matrix functions of arbitrary degree on the uncertain parameters. The conditions exploit the positivity of the uncertain parameters, being constructed in such a way that: as the degree of the polynomial increases, the number of linear matrix inequalities and free variables increases and the test becomes less conservative; if a feasible solution exists for a certain degree, the conditions will also be verified for larger degrees. For any given degree, the feasibility of a set of linear matrix inequalities defined at the vertices of the polytope assures the robust stability. Both continuous and discrete-time uncertain systems are addressed, as illustrated by numerical examples. (c) 2005 Elsevier B.V. All rights reserved.
机译:研究了多域域中不确定线性系统的鲁棒稳定性。主要贡献在于提供一种系统程序,该程序基于不确定参数上任意阶的均一多项式参数相关的Lyapunov矩阵函数,生成足够的鲁棒稳定性线性矩阵不等式条件。这些条件利用不确定性参数的正性,其构造方式为:随着多项式次数的增加,线性矩阵不等式和自由变量的数量增加,检验的保守性降低;如果在某种程度上存在可行的解决方案,则还将在更大程度上验证条件。对于任何给定程度,在多义峰的顶点处定义的一组线性矩阵不等式的可行性确保了鲁棒的稳定性。如数值示例所示,连续和离散时间不确定系统都得到了解决。 (c)2005 Elsevier B.V.保留所有权利。

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