控制理论(社会学)
非线性系统
自适应控制
控制器(灌溉)
人工神经网络
计算机科学
非线性控制
理论(学习稳定性)
数学
控制(管理)
人工智能
农学
量子力学
生物
机器学习
物理
作者
Lingji Chen,Kumpati S. Narendra
出处
期刊:Automatica
[Elsevier]
日期:2001-08-01
卷期号:37 (8): 1245-1255
被引量:275
标识
DOI:10.1016/s0005-1098(01)00072-3
摘要
In this paper, adaptive control of a class of nonlinear discrete time dynamical systems with boundedness of all signals is established by using a linear robust adaptive controller and a neural network based nonlinear adaptive controller, and switching between them by a suitably defined switching law. The linear controller, when used alone, assures boundedness of all the signals but not satisfactory performance. The nonlinear controller may result in improved response, but may also result in instability. By using a switching scheme, it is demonstrated that improved performance and stability can be simultaneously achieved.
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