Global exponential stability of cellular neural networks with time-varying coefficients and delays.
In this paper, a class of cellular neural networks with time-varying coefficients and delays is considered. By constructing a suitable Liapunov functional and utilizing the technique of matrix analysis, some new sufficient conditions on the global exponential stability of solutions are obtained. The results obtained in this paper improve and extend some of the previous results.
Jiang
Haijun
H
College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China. jianghai@xju.edu.cn
Teng
Zhidong
Z
D016571:Neural Networks, Computer; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D011930:Reaction Time / Q000502:physiology