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

机译:采样数据T-S模糊复杂动态网络的有限时间同步受平均停留时间方法

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摘要

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:本文介绍了通过采样数据控制的耦合延迟的Takagi-Sugeno(T-S)模糊复合动力网络的有限时间同步的问题。为了将采样数据控制系统更改为连续的时间延迟系统,应用了输入延迟方法。基于Lyapunov稳定性理论,用Kronecker产品构建合适的Lyapunov-Krasovskii功能(LKF)。此外,通过应用平均停留时间方法,建立了一种新的充足条件,以确定具有开关信号的模糊复合动态网络(CDN)的有限时间稳定。所提出的方法比常规方法更少保守,因为使用新开发的时间依赖性模糊LKF。所提出的充足条件可以以线性基质不等式(LMI)的形式表示。最后,通过数值和实际实施例验证了所提出的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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