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
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;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.126