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Pinning Event-Triggered Sampling Control for Synchronization of T-S Fuzzy Complex Networks With Partial and Discrete-Time Couplings
IEEE Transactions on Fuzzy Systems ( IF 11.9 ) Pub Date : 2019-12-01 , DOI: 10.1109/tfuzz.2019.2898373
Ruimei Zhang , Deqiang Zeng , Ju H. Park , Yajuan Liu , Shouming Zhong

This paper focuses on the synchronization problem of Takagi-Sugeno (T-S) fuzzy complex networks with partial and discrete-time couplings via event-triggered sampling control. Different from traditional control methods, a more general and practical event-triggered communication scheme with nonuniform sampling is newly designed for T–S fuzzy complex networks. Then, a Lyapunov–Krasovskii functional (LKF) with a novel input-delay-product-type (IDPT) term is presented. The IDPT term can fully capture the information of the nonlinear functions and the actual sampling pattern. Based on the new IDPT LKF, less conservative synchronization criteria are derived. Meanwhile, by solving a set of linear matrix inequalities, the desired pinning control gains are precisely obtained. Simulation examples are provided to illustrate the effectiveness and superiorities of the proposed results.

中文翻译:

具有部分和离散时间耦合的 TS 模糊复杂网络同步的钉扎事件触发采样控制

本文重点研究通过事件触发采样控制具有部分和离散时间耦合的 Takagi-Sugeno (TS) 模糊复杂网络的同步问题。不同于传统的控制方法,针对 T-S 模糊复杂网络,新设计了一种更通用、更实用的非均匀采样事件触发通信方案。然后,提出了具有新颖输入延迟产品类型 (IDPT) 项的 Lyapunov-Krasovskii 泛函 (LKF)。IDPT项可以充分捕捉非线性函数和实际采样模式的信息。基于新的 IDPT LKF,推导出不太保守的同步标准。同时,通过求解一组线性矩阵不等式,可以精确地获得所需的钉扎控制增益。
更新日期:2019-12-01
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