Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSMCB.2003.817055
Title: Adaptive Neural Control of Nonlinear Time-Delay Systems with Unknown Virtual Control Coefficients
Authors: Ge, S.S. 
Hong, F. 
Lee, T.H. 
Keywords: Adaptive control
Neural networks
Nonlinear time-delay systems
Issue Date: Feb-2004
Source: Ge, S.S., Hong, F., Lee, T.H. (2004-02). Adaptive Neural Control of Nonlinear Time-Delay Systems with Unknown Virtual Control Coefficients. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34 (1) : 499-516. ScholarBank@NUS Repository. https://doi.org/10.1109/TSMCB.2003.817055
Abstract: In this paper, adaptive neural control is presented for a class of strict-feedback nonlinear systems with unknown time delays. The proposed design method does not require a priori knowledge of the signs of the unknown virtual control coefficients. The unknown time delays are compensated for using appropriate Lyapunov-Krasovskii functionals in the design. It is proved that the proposed backstepping design method is able to guarantee semi-global uniformly ultimately boundedness of all the signals in the closed-loop. In addition, the output of the system is proven to converge to a small neighborhood of the origin. Simulation results are provided to show the effectiveness of the proposed approach.
Source Title: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
URI: http://scholarbank.nus.edu.sg/handle/10635/54912
ISSN: 10834419
DOI: 10.1109/TSMCB.2003.817055
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