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Adaptive neural control for a class of nonlinearly parametric time-delay systems

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3 Author(s)
D. W. C. Ho ; Dept. of Math., City Univ. of Hong Kong, China ; Junmin Li ; Yugang Niu

In this paper, an adaptive neural controller for a class of time-delay nonlinear systems with unknown nonlinearities is proposed. Based on a wavelet neural network (WNN) online approximation model, a state feedback adaptive controller is obtained by constructing a novel integral-type Lyapunov-Krasovskii functional, which also efficiently overcomes the controller singularity problem. It is shown that the proposed method guarantees the semiglobal boundedness of all signals in the adaptive closed-loop systems. An example is provided to illustrate the application of the approach.

Published in:

IEEE Transactions on Neural Networks  (Volume:16 ,  Issue: 3 )