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

Joint Authors

Wang, Ruliang
Li, Jie

Source

Mathematical Problems in Engineering

Issue

Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-16, 16 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2012-09-29

Country of Publication

Egypt

No. of Pages

16

Main Subjects

Civil Engineering

Abstract EN

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.

American Psychological Association (APA)

Wang, Ruliang& Li, Jie. 2012. Adaptive Neural Control for a Class of Outputs Time-Delay Nonlinear Systems. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-1002023

Modern Language Association (MLA)

Wang, Ruliang& Li, Jie. Adaptive Neural Control for a Class of Outputs Time-Delay Nonlinear Systems. Mathematical Problems in Engineering No. 2012 (2012), pp.1-16.
https://search.emarefa.net/detail/BIM-1002023

American Medical Association (AMA)

Wang, Ruliang& Li, Jie. Adaptive Neural Control for a Class of Outputs Time-Delay Nonlinear Systems. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-16.
https://search.emarefa.net/detail/BIM-1002023

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1002023