Letters: Stability analysis of Cohen-Grossberg neural networks with time-varying and distributed delays
作者： Tao Li , Shu-min Fei
DOI: 10.1016/J.NEUCOM.2007.09.006
关键词:
摘要: In this paper, the global exponential stability is investigated for Cohen-Grossberg neural networks with time-varying and distributed delays. By using a novel Lyapunov-Krasovskii functional equivalent descriptor form of addressed system, delay-dependent sufficient conditions are obtained to guarantee considered system. These expressed in terms LMIs, can be checked by resorting Matlab LMI toolbox. addition, proposed criteria do not require monotonicity activation functions derivative delay being less than 1, which generalize improve those earlier methods. Finally, numerical examples given show reduced conservatism
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