CONTROL OF NONLINEAR DYNAMIC-SYSTEMS USING NEURAL NETWORKS - CONTROLLABILITY AND STABILIZATION

被引：218
|
作者：
LEVIN, AU [1 ]
NARENDRA, KS [1 ]
机构：
[1] YALE UNIV,CTR SYST SCI,DEPT ELECT ENGN,NEW HAVEN,CT 06520
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS | 1993年 / 4卷 / 02期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1109/72.207608
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The main objective of this paper is to indicate how practically viable controllers can be designed using neural networks, based on results in nonlinear control theory. The paper considers the problem of stabilization of a dynamical system around an equilibrium point, when the state of the system is accessible. Simulation results are included to complement the theoretical discussions.
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页码：192 / 206
页数：15
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