Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/83171
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Adaptive neural control for a class of perturbed strict-feedback nonlinear time-delay systems
Author: Wang, M.
Chen, B.
Shi, P.
Citation: IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics, 2008; 38(3):721-730
Publisher: IEEE-Inst Electrical Electronics Engineers Inc
Issue Date: 2008
ISSN: 1083-4419
1941-0492
Statement of
Responsibility: 
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
RMID: 0020127958
DOI: 10.1109/TSMCB.2008.918568
Appears in Collections:Electrical and Electronic Engineering publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.