DocumentCode
3573503
Title
Dynamics of neural systems with distributed delays and diffusion
Author
Xuyang Lou ; Qian Ye ; Baotong Cui
Author_Institution
Sch. of IoT Eng., Jiangnan Univ., Wuxi, China
fYear
2014
Firstpage
4750
Lastpage
4754
Abstract
The paper analyzes global exponential stability of reaction-diffusion cellular neural networks with distributed delays. Some sufficient conditions are proposed to guarantee the global exponential stability of the cellular neural networks by exploiting a delay differential inequality. The conditions are formulated as an M-matrix. Different from the method in the literature, without making use of Lyapunov functionals, the method in this paper is simple and effective for the stability analysis of neural networks with delay.
Keywords
Lyapunov matrix equations; asymptotic stability; cellular neural nets; delays; Lyapunov functionals; M-matrix; distributed delays; global exponential stability; neural systems; reaction-diffusion cellular neural networks; Asymptotic stability; Cellular neural networks; Control theory; Delays; Stability analysis; Cellular neural networks; M-matrix; delay differential inequality; global exponential stability; reaction-diffusion;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type
conf
DOI
10.1109/WCICA.2014.7053517
Filename
7053517
Link To Document