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Cluster Synchronization for T-S Fuzzy Complex Networks Using Pinning Control with Probabilistic Time-Varying Delays

机译:T-S模糊复杂网络使用时变时滞固定控制的集群同步

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摘要

In this article, cluster synchronization problem for Lur'e type Takagi-Sugeno (T-S) fuzzy complex networks with probabilistic time-varying delays is considered. Pinning control strategy is proposed. The probability distribution of the time-varying delay is considered. In terms of the probability distribution of the delays, a new type of system model with probability-distribution-dependent parameter matrices is proposed. Moreover, probabilistic delay is assumed to satisfy certain probability distribution and the probability of the delay takes values in some intervals. By constructing a suitable Lyapunov-Krasovskii functional involving triple integral terms and using Kronecker product with convex combination technique, some sufficient conditions are derived to ensure the cluster synchronization of designed networks such that the linear feedback controller can be used to every cluster. The problem of controller design is converted into solving a series of linear matrix inequalities. The effectiveness of our results is verified through numerical examples and simulations. (C) 2014 Wiley Periodicals, Inc.
机译:本文考虑具有时变时滞的Lur'e型Takagi-Sugeno(T-S)模糊复杂网络的集群同步问题。提出了钉扎控制策略。考虑时变延迟的概率分布。根据时延的概率分布,提出了一种具有概率分布相关参数矩阵的新型系统模型。此外,假定概率延迟满足一定的概率分布,并且该延迟的概率在某些间隔中取值。通过构造一个合适的涉及三重积分项的Lyapunov-Krasovskii泛函,并使用带有凸组合技术的Kronecker乘积,可以得出一些充分的条件来确保所设计网络的集群同步,从而可以将线性反馈控制器用于每个集群。控制器设计的问题转化为解决一系列线性矩阵不等式的问题。我们的结果的有效性通过数值示例和仿真得到了验证。 (C)2014威利期刊公司

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