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具有混合时滞的离散混沌神经网络的指数H_∞同步(英文) 被引量:1

Exponential H_∞ Synchronization of Discrete-time Chaotic Neural Networks with Mixed Time Delays
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摘要 考虑了一类具外部干扰的混合时滞的离散混合神经网络的指数H∞同步.基于Lyapunov理论和LMIs公式,建立的反馈控制理论不仅保证了驱动和响应系统的稳定同步,而且减少了外部干扰对H∞范数约束的影响.最后,一个控制存在准则以LMIs的形式给出了. This article consider exponential H∞ synchronization of a general class of multiple delayed discrete-time chaotic neural networks with external disturbance. Based on Lyapunov theory and linear matrix (LMI) formulation, the feedback controllers is established to not only guarantee exponential stable synchronization of both drive and response systems, but also reduce the effect of external disturbance to an H∞ norm constraint. Finally, a criterion for existence of the controller is given in terms of LMIs.
作者 刘洋 蒋海军 LIU Yang;JIANG Hai-jun(College of Mathematics and Systems Science,Xinjiang University,Urumqi,Xinjiang 830046,China)
出处 《新疆大学学报(自然科学版)》 CAS 2012年第1期46-52,共7页 Journal of Xinjiang University(Natural Science Edition)
基金 supported by The National Natural Science Foundation of P.R.China(60764003) The Natural ScienceFoundation of Xinjiang(2010211A07) The Scientific Research Programmes of Colleges in Xinjiang(XJEDU2007G01)
关键词 指数H∞同步 离散神经网络 变时滞 分布时滞 Exponential H∞ synchronization Discrete-time neural networks Time-varying delays Distributed delays
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