Adaptive neural network tracking control for a class of unknown nonlinear time-delay systems

doi:10.1016/S1004-4132(06)60105-9

Journal of Systems Engineering and Electronics ›› 2006, Vol. 17 ›› Issue (3): 611-618.doi: 10.1016/S1004-4132(06)60105-9

出版日期:2006-09-25 发布日期:2019-12-20

Adaptive neural network tracking control for a class of unknown nonlinear time-delay systems

Chen Weisheng & Li Junmin

Dept of Applied Mathematics, Xidian Univ. , Xi'an 710071, P. R China

Online:2006-09-25 Published:2019-12-20

摘要/Abstract

Abstract:

For a class of unknown nonlinear time-delay systems, an adaptive neural network (NN) control design

approach is proposed. Backstepping, domination and adaptive bounding design technique are combined to construct

a robust memoryless adaptive NN tracking controller. Unknown time-delay functions are approximated by NNs,

such that the requirement on the nonlinear time-delay functions is relaxed. Based on Lyapunov-Krasoviskii functional, the sem-global uniformly ultimately boundedness (UUB) of all the signals in the closed-loop system is proved

The arbitrary output tracking accuracy is achieved by tuning the design parameters. The feasibility is investigated

by an illustrative simulation example.

Key words:

nonlinear time-delay system, neural network, adaptive bounding technique, memoryless adaptive NN controller

. [J]. Journal of Systems Engineering and Electronics, 2006, 17(3): 611-618.

Chen Weisheng & Li Junmin.

Adaptive neural network tracking control for a class of unknown nonlinear time-delay systems

[J]. Journal of Systems Engineering and Electronics, 2006, 17(3): 611-618.

Adaptive neural network tracking control for a class of unknown nonlinear time-delay systems

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