Less conservative robustness analysis of linear parameter varying systems using integral quadratic constraints

被引:25
|
作者
Pfifer, Harald [1 ]
Seiler, Peter [1 ]
机构
[1] Univ Minnesota, Aerosp Engn & Mech Dept, Minneapolis, MN 55455 USA
基金
美国国家科学基金会;
关键词
robust control; linear parameter varying systems; uncertain systems; DISSIPATIVE DYNAMICAL-SYSTEMS; FACTORIZATION;
D O I
10.1002/rnc.3521
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers the robustness of a feedback connection of a known linear parameter varying system and a perturbation. A sufficient condition is derived to bound the worst-case gain and ensure robust asymptotic stability. The input/output behavior of the perturbation is described by multiple integral quadratic constraints (IQCs). The analysis condition is formulated as a dissipation inequality. The standard approach requires a non-negative definite storage function and the use of hard' IQCs. The term hard' means that the IQCs can be specified as time-domain integral constraints that hold over all finite horizons. The main result demonstrates that the dissipation inequality condition can be formulated requiring neither a non-negative storage function nor hard IQCs. A key insight used to prove this result is that the multiple IQCs, when combined, contain hidden stored energy. This result can lead to less conservative robustness bounds. Two simple examples are presented to demonstrate this fact. Copyright (c) 2016 John Wiley & Sons, Ltd.
引用
收藏
页码:3580 / 3594
页数:15
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