Adaptive Neural Control for a Class of Outputs Time-Delay Nonlinear Systems

Mathematical Problems in Engineering. 2012;2012 DOI 10.1155/2012/852161


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Journal Title: Mathematical Problems in Engineering

ISSN: 1024-123X (Print); 1563-5147 (Online)

Publisher: Hindawi Limited

LCC Subject Category: Technology: Engineering (General). Civil engineering (General) | Science: Mathematics

Country of publisher: United Kingdom

Language of fulltext: English

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Ruliang Wang (Computer and Information Engineering College, Guangxi Teachers Education University, Nanning 530023, China)
Jie Li (School of Mathematical Sciences, Guangxi Teachers Education University, Nanning 530023, China)


Blind peer review

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Time From Submission to Publication: 26 weeks


Abstract | Full Text

This paper considers an adaptive neural control for a class of outputs time-delay nonlinear systems with perturbed or no. Based on RBF neural networks, the radius basis function (RBF) neural networks is employed to estimate the unknown continuous functions. The proposed control guarantees that all closed-loop signals remain bounded. The simulation results demonstrate the effectiveness of the proposed control scheme.