Adaptive neural network control based on trajectory linearization control

被引:0
|
作者
Liu, Yong [1 ]
Huang, Rui [1 ]
Zhu, Jim [1 ]
机构
[1] Ohio Univ, Sch Elect Engn & Comp Sci, Athens, OH 45701 USA
关键词
network control; trajectory linearization control; adaptive control;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, an adaptive neural network nonlinear control method is developed based on trajectory linearization control (TLC). The adaptive neural network TLC control (ANNTLC) compensates the model nonlinear uncertainty adaptively, and improves controller performance. ANNTLC can also be used to simplify the TLC control design procedure by using a simplified model. A stable neural network learning rule is developed. The simulation result shows the feasibility of the proposed method.
引用
收藏
页码:417 / +
页数:2
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