title: Global exponential stability of cellular neural networks with time-varying coefficients and delays.
abstract: 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.
authors.affiliation: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830046, China. jianghai@xju.edu.cn
authors.forename: Haijun
authors.initials: H
authors.lastname: Jiang
authors.forename: Zhidong
authors.initials: Z
authors.lastname: Teng
mesh_terms: D016571:Neural Networks, Computer; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D011930:Reaction Time / Q000502:physiology