Practical adaptive neural control of nonlinear systems with unknown time delays

被引：94
作者：
Hong, F [1 ]
Ge, SZS [1 ]
Lee, TH [1 ]
机构：
[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117548, Singapore
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2005年 / 35卷 / 04期
关键词：
decoupled backstepping; differentiable control; nonlinear time-delay system; practical neural networks;
D O I：
10.1109/TSMCB.2005.846645
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Practical adaptive neural control is presented for a class of nonlinear systems with unknown time delays in strict-feedback form. Using appropriate Lyapunov-Krasovskii functionals, the unknown time delays are compensated for. Controller singularity problems are solved by practical neural network control. A novel differentiable control function is provided such that the practical design can be carried out in the decoupled backstepping design. It is proved that the proposed design method is able to guarantee semi-global uniform ultimate boundedness of all the signals in the closed-loop system, and the tracking error is proven to converge to a small neighborhood of the origin.
引用
收藏
页码：849 / 854
页数：6
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