DocumentCode
3345166
Title
A Method of Robust Stabilization for the Delay Neural Networks with Nonlinear Perturbations
Author
Wang, Ruliang ; Lei, Hong ; Wang, Jin
Author_Institution
Dept. of Inf. Technol., Guangxi Teachers´´ Univ., Nanning, China
fYear
2009
fDate
14-17 Oct. 2009
Firstpage
502
Lastpage
505
Abstract
In this paper, we consider a class of time-delay dynamical systems with nonlinear perturbation. The nonlinear perturbation functions are assumed bounded. we provide a robust stabilization criterion via designing a memoryless state feedback controller for the time-delay dynamical neural networks with nonlinear perturbation. The sufficient criterion is given in terms of linear matrix inequality (LMI). The checking for robust stabilization of time-delay dynamical neural networks with nonlinear perturbation by our result can be carried out rather simply, and convenient for the application. The applicability of our results is demonstrated by means of two specific examples.
Keywords
control system synthesis; linear matrix inequalities; neural nets; nonlinear control systems; perturbation techniques; robust control; LMI; linear matrix inequality; memoryless state feedback controller designing; nonlinear perturbations functions; robust stabilization method; time delay dynamical neural network systems; Application software; Artificial neural networks; Computer networks; Genetics; Neural networks; Robust control; Robustness; Stability; State feedback; Symmetric matrices; delay; neural network; nonlinear perturbation;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location
Guilin
Print_ISBN
978-0-7695-3899-0
Type
conf
DOI
10.1109/WGEC.2009.126
Filename
5402787
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