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Adaptive Neural Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems

2008; Institute of Electrical and Electronics Engineers; Volume: 38; Issue: 3 Linguagem: Inglês

10.1109/tsmcb.2008.918568

1941-0492

Min Wang, Bing Chen, Peng Shi,

Adaptive Dynamic Programming Control

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.