稳健性(进化)
自适应控制
计算机科学
控制理论(社会学)
自适应系统
理论(学习稳定性)
线性系统
数学
控制(管理)
人工智能
机器学习
生物化学
基因
数学分析
化学
作者
Kumpati S. Narendra,Anuradha M. Annaswamy
标识
DOI:10.1080/00207178708933715
摘要
The importance of the concept of persistent excitation (PE) in adaptive identification and control has been recognized for some time. Recently it has become evident that it also plays a central role in many questions related to the robustness of adaptive systems. There is every reason to believe that arguments involving this concept will continue to feature prominently in the analysis of most of the important problems of adaptive control. Hence there is a real need for a deeper understanding of the concept. The paper is written with three objectives. The first, which is tutorial in nature, is to provide a general framework for the discussion of persistent excitation and to collect results in the area, which are scattered throughout the adaptive literature. The second objective is to present some new results related to the uniform asymptotic stability (u.a.s.) and robustness of adaptive systems and the relation of PE to the stability properties of a class of non-linear systems. The final objective is to discuss the implications of PE in future problems, including adaptive control using a reduced-order model.
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