被动性
稳健性(进化)
二次方程
控制理论(社会学)
因果关系(物理学)
理论(学习稳定性)
数学
计算机科学
数学优化
应用数学
控制(管理)
工程类
量子力学
生物化学
基因
几何学
电气工程
机器学习
物理
人工智能
化学
作者
Alexandre Megretski,Anders Rantzer
摘要
Abstract—This paper introduces a unified approach to robust-ness 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 com-ponents. 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. Index Terms—Nonlinearity, robustness, stability analysis. I.
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