Please use this identifier to cite or link to this item: https://doi.org/10.1109/TAC.2003.819287
Title: Adaptive Neural Network Control of Nonlinear Systems with Unknown Time Delays
Authors: Ge, S.S. 
Hong, F. 
Lee, T.H. 
Keywords: Adaptive control
Neural networks
Nonlinear time-delay systems
Issue Date: Nov-2003
Source: Ge, S.S.,Hong, F.,Lee, T.H. (2003-11). Adaptive Neural Network Control of Nonlinear Systems with Unknown Time Delays. IEEE Transactions on Automatic Control 48 (11) : 2004-2010. ScholarBank@NUS Repository. https://doi.org/10.1109/TAC.2003.819287
Abstract: In this note, adaptive neural control is presented for a class of strict-feedback nonlinear systems with unknown time delays. Using appropriate Lyapunov-Krasovskii functionals, the uncertainties of unknown time delays are compensated for such that iterative backstepping design can be carried out. In addition, controller singularity problems are solved by using the integral Lyapunov function and employing practical robust neural network control. The feasibility of neural network approximation of unknown system functions is guaranteed over practical compact sets. It is proved that the proposed systematic backstepping design method is able to guarantee semiglobally uniformly 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.
Source Title: IEEE Transactions on Automatic Control
URI: http://scholarbank.nus.edu.sg/handle/10635/54918
ISSN: 00189286
DOI: 10.1109/TAC.2003.819287
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