System analysis via integral quadratic constraints

被引:972
作者
Megretski, A [1 ]
Rantzer, A [1 ]
机构
[1] LUND INST TECHNOL, DEPT AUTOMAT CONTROL, S-22100 LUND, SWEDEN
基金
美国国家科学基金会;
关键词
nonlinearity; robustness; stability analysis;
D O I
10.1109/9.587335
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 introduces a unified approach to robustness analysis with respect to nonlinearities, time variations, and uncertain parameters, From an original idea by Yakubovich, the approach has been developed under a combination of influences from the Western and Russian traditions of control theory. It is shown how a complex system can be described, using integral quadratic constraints (IQC's) for its elementary components, A stability theorem for systems described by IQC's is presented that covers classical passivity/dissipativity arguments but simplifies the use of multipliers and the treatment of causality, A systematic computational approach is described, and relations to other methods of stability analysis are discussed, Last, but not least, the paper contains a summarizing list of IQC's for important types of system components.
引用
收藏
页码:819 / 830
页数:12
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