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Neural network controller design for a class of nonlinear systems with unknown time delays

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2 Author(s)
Shurong Li ; Coll. of Inf. & Control Eng., China Univ. of Pet., Dongying, China ; Yun Hong

In this paper, an adaptive neural network controller was presented for a class of strict-feedback nonlinear systems with unknown time delays and input saturation. Based on the backstepping design technique, an adaptive controller was obtained by constructing an appropriate Lyapunov-Krasovskii functional. The saturation characteristic of the actuator was compensated by a compensator. It is proven that the semi-global uniformly ultimately boundedness of all the signals in the closed-loop systems was guaranteed. A simulation example was provided to illustrate the validity of the proposed approach.

Published in:

Modelling, Identification and Control (ICMIC), Proceedings of 2011 International Conference on

Date of Conference:

26-29 June 2011

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