透视图(图形)
稳健性(进化)
自适应控制
计算机科学
时间线
适应性学习
领域(数学)
钥匙(锁)
人工智能
理论(学习稳定性)
控制(管理)
机器学习
数学
计算机安全
多媒体
生物化学
基因
化学
纯数学
作者
Anuradha M. Annaswamy,Аlexander L. Fradkov
标识
DOI:10.1016/j.arcontrol.2021.10.014
摘要
This article provides a historical perspective of the field of adaptive control over the past seven decades and its intersection with learning. A chronology of key events over this large time-span, problem statements that the field has focused on, and key solutions are presented. Fundamental results related to stability and robustness of adaptive systems and learning of unknown parameters are sketched. A brief description of various applications of adaptive control reported over this period is included.
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