摘要
The global asymptotic stability of cellular neural networks with delays is investigated. Three kinds of time delays have been considered. New delay-dependent stability criteria are proposed and are formulated as the feasibility of some linear matrix inequalities, which can be checked easily by resorting to the recently developed interior-point algorithms. Based on the Finsler Lemma, it is theoretically proved that the proposed stability criteria are less conservative than some existing results.
The global asymptotic stability of cellular neural networks with delays is investigated. Three kinds of time delays have been considered. New delay-dependent stability criteria are proposed and are formulated as the feasibility of some linear matrix inequalities, which can be checked easily by resorting to the recently developed interior-point algorithms. Based on the Finsler Lemma, it is theoretically proved that the proposed stability criteria are less conservative than some existing results.
作者
Wang Xingang1,4, Zhang Dongmei2 & Liu Jun3 1. Coll. of Information Engineering, Zhejiang Univ. of Technology, Hangzhou 310032, P. R. China
2. Coll. of Science, Zhejiang Univ. of Technology, Hangzhou 310032, P. R. China
3. Coll. of Science, Beihua Univ., Jilin 132000, P. R. China
4. School of Computer Engineering and Science, Shanghai Univ., Shanghai 200072, P. R. China
基金
supported by the National Natural Science Foundation of China (60604017)
the Natural Science Foundation of Zhejiang Province (Y107657).
