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Finite-time synchronization of sampled-data T-S fuzzy complex dynamical networks subject to average dwell-time approach

机译:基于平均停留时间方法的采样数据T-S模糊复杂动力网络的有限时间同步

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The problem of finite-time synchronization for Takagi-Sugeno (T-S) fuzzy complex dynamical networks with coupling delays via sampled-data control is presented in this paper. To change the sampled-data control system into a continuous time-delayed system, an input delay approach is applied. Based on the Lyapunov stability theory, a suitable Lyapunov-Krasovskii functional (LKF) is constructed with the Kronecker products. Furthermore, by applying the average dwell-time approach, a novel sufficient condition is established to ascertain the finite-time stabilization of fuzzy complex dynamical networks (CDNs) with switching signals. The proposed method is less conservative than conventional approaches, since the newly developed time-dependent fuzzy LKF is used. The proposed sufficient condition can be represented in the form of linear matrix inequalities (LMIs). Finally, the effectiveness and superiority of the proposed approach is validated through both numerical and practical examples. (C) 2019 Elsevier B.V. All rights reserved.
机译:通过采样数据控制,提出了具有耦合时滞的Takagi-Sugeno(T-S)模糊复杂动力网络的有限时间同步问题。为了将采样数据控制系统更改为连续的时延系统,应用了输入延迟方法。基于Lyapunov稳定性理论,使用Kronecker产品构造了合适的Lyapunov-Krasovskii泛函(LKF)。此外,通过应用平均停留时间方法,建立了一个新颖的充分条件,可以确定带有切换信号的模糊复杂动态网络(CDN)的有限时间稳定。由于使用了新开发的时间相关的模糊LKF,因此所提出的方法没有传统方法那么保守。所提出的充分条件可以用线性矩阵不等式(LMI)的形式表示。最后,通过数值和实际算例验证了该方法的有效性和优越性。 (C)2019 Elsevier B.V.保留所有权利。

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