Neural network-based iterative optimal controller for nonlinear systems

被引：0
|
作者：
Li, Mingzhong
Wang, Fuli
机构：
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 1998年 / 19卷 / 02期
关键词：
Identification (control systems) - Learning systems - Neural networks - Nonlinear systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
A neural network-based iterative optimal controller for nonlinear systems is presented. The controller is designed based on the neural networks using iterative optimal methods. In order to reduce the errors of identification and iterative learning, a compensation controller is added in the control system. The simulation results show the efficiency of the proposed method.
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页码：191 / 194
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