DocumentCode :
2002316
Title :
Uniform Stability of Impulsive Cohen-Grossberg Neural Networks with Variable Delays
Author :
Yang, Fengjan ; Zhang, Chaolong ; Wu, Dongqing ; Yang, Jianfu
Author_Institution :
Univ. of Agric. & Technol, Guangzhou
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
778
Lastpage :
783
Abstract :
This paper is concerned with the stability of the impulsive Cohen-Grossberg neural networks with variable delays. By means of matrices theory, Lyapunov function and analysis technique, sufficient conditions are obtained for the uniform stability of a unique equilibrium solution of this system. We can see that impulses do contribution to system´s uniform stability, so the impulsive system is stable whether the corresponding continuous-time system is stable or not. As the applications of the main theorems, some uniform stability criteria are established for several well known impulsive ecological models with variable delays.
Keywords :
Lyapunov matrix equations; continuous time systems; delay systems; neural nets; stability; Lyapunov function; continuous-time system; equilibrium solution; impulsive Cohen-Grossberg neural networks; impulsive ecological models; matrices theory; uniform stability; variable delays; Agriculture; Automatic control; Biological system modeling; Computer networks; Delay effects; Lyapunov method; Neural networks; Neurons; Recurrent neural networks; Stability criteria; Impulse; Lyapunov function; Neural networks; Time delays; Uniform stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0817-7
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376462
Filename :
4376462
Link To Document :
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