Direct adaptive control for a class of MIMO nonlinear systems using neural networks

被引:60
作者
Ge, SS [1 ]
Li, GY [1 ]
Zhang, J [1 ]
Lee, TH [1 ]
机构
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore
关键词
adaptive control; discrete-time systems; multiple-input-multiple-output (MIMO) systems; neural networks (NNs);
D O I
10.1109/TAC.2004.837561
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 note, direct adaptive neural network (NN) control is studied for a class of multiple-input-multiple-output nonlinear systems based on input-output discrete-time model with unknown interconnections between subsystems. By finding an orthogonal matrix to tune the NN weights, the closed-loop system is proven to be semiglobally uniformly ultimately bounded. The control performance of the closed-loop system is guaranteed by suitably choosing the design parameters.
引用
收藏
页码:2001 / 2006
页数:6
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