Adaptive neural control for a class of perturbed strict feedback nonlinear time-delay systems
Wang, Min and Chen, Bing and Shi, Peng (2008) Adaptive neural control for a class of perturbed strict feedback nonlinear time-delay systems. IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, 38 (3). pp. 721-730. ISSN 1083-4419Full text for this resource is not available from the Research Repository.
This paper proposes a novel adaptive neural control scheme for a class of perturbed strict-feedback nonlinear time-delay systems with unknown virtual control coefficients. Based on the radial basis function neural network online approximation capability, an adaptive neural controller is presented by combining the backstepping approach and Lyapunov-Krasovskii functionals. The proposed controller guarantees the semiglobal boundedness of all the signals in the closed-loop system and contains minimal learning parameters. Finally, three simulation examples are given to demonstrate the effectiveness and applicability of the proposed scheme.
|Uncontrolled Keywords:||ResPubID18744, adaptive control, backstepping, neural control, nonlinear time-delay systems|
|Subjects:||Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM)
FOR Classification > 0199 Other Mathematical Sciences Information Systems
|Date Deposited:||23 Apr 2012 04:07|
|Last Modified:||23 Apr 2012 04:07|
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|Citations in Scopus:||77 - View on Scopus|
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