Practical adaptive neural control of nonlinear systems with unknown time delays

Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSMCB.2005.846645

Title:	Practical adaptive neural control of nonlinear systems with unknown time delays
Authors:	Hong, F. Ge, S.S. Lee, T.H.
Keywords:	Decoupled backstepping Differentiable control Nonlinear time-delay system Practical neural networks
Issue Date:	Aug-2005
Citation:	Hong, F., Ge, S.S., Lee, T.H. (2005-08). Practical adaptive neural control of nonlinear systems with unknown time delays. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 35 (4) : 849-854. ScholarBank@NUS Repository. https://doi.org/10.1109/TSMCB.2005.846645
Abstract:	Practical adaptive neural control is presented for a class of nonlinear systems with unknown time delays in strict-feedback form. Using appropriate Lyapunov-Krasovskii functionals, the unknown time delays are compensated for. Controller singularity problems are solved by practical neural network control. A novel differentiable control function is provided such that the practical design can be carried out in the decoupled backstepping design. It is proved that the proposed design method is able to guarantee semi-global uniform 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. © 2005 IEEE.
Source Title:	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
URI:	http://scholarbank.nus.edu.sg/handle/10635/51015
ISSN:	10834419
DOI:	10.1109/TSMCB.2005.846645
Appears in Collections:	Staff Publications

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