Pinning Event-Triggered Sampling Control for Synchronization of T-S Fuzzy Complex Networks With Partial and Discrete-Time Couplings

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...

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Bibliographic Details
Published in:IEEE transactions on fuzzy systems 2019-12, Vol.27 (12), p.2368-2380
Main Authors: Zhang, Ruimei, Zeng, Deqiang, Park, Ju H., Liu, Yajuan, Zhong, Shouming
Format: Article
Language:English
Subjects:
Complex networks
Control methods
Couplings
Event-triggered sampling control (ETSC)
Fuzzy logic
Linear matrix inequalities
Mathematical analysis
Matrix methods
Networks
Nonuniform sampling
partial couplings
Pinning
pinning control
Sampling
Symmetric matrices
Synchronism
Synchronization
T–S fuzzy complex networks
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Summary: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.
ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2019.2898373