Delay-distribution-dependent stability of stochastic discrete-time neural networks with randomly mixed time-varying delays
作者： Yang Tang , Jian-an Fang , Min Xia , Dongmei Yu
DOI: 10.1016/J.NEUCOM.2009.05.012
关键词:
摘要: In this paper, the stability analysis problem for a new class of discrete-time neural networks with randomly discrete and distributed time-varying delays has been investigated. Compared previous work, delay is assumed to be time-varying. Moreover, effects both variation range probability distribution mixed time-delays are taken into consideration in proposed approach. The coupling term complex considered by introducing two Bernoulli stochastic variables. By using some novel techniques Lyapunov-Krasovskii function, delay-distribution-dependent conditions derived ensure that network synchronized mean square. A numerical example provided demonstrate effectiveness applicability method.
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