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|Title:||Adaptive neural control for a class of perturbed strict-feedback nonlinear time-delay systems|
|Citation:||IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 2008; 38(3):721-730|
|Publisher:||IEEE-Inst Electrical Electronics Engineers Inc|
|Min Wang, Bing Chen, and Peng Shi|
|Abstract:||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.|
|Keywords:||Models, Statistical; Algorithms; Neural Networks (Computer); Time Factors; Feedback; Computer Simulation; Signal Processing, Computer-Assisted|
|Rights:||© 2008 IEEE|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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