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https://hdl.handle.net/2440/83171
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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 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 Time Factors Feedback Computer Simulation Signal Processing, Computer-Assisted Neural Networks, Computer |
Rights: | © 2008 IEEE |
DOI: | 10.1109/TSMCB.2008.918568 |
Published version: | http://dx.doi.org/10.1109/tsmcb.2008.918568 |
Appears in Collections: | Aurora harvest 4 Electrical and Electronic Engineering publications |
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