Delay-Dependent Fuzzy Sampled-Data Synchronization of T–S Fuzzy Complex Networks With Multiple Couplings

Wang, Xin; Park, Ju H.; Yang, Huilan; Zhang, Xiaojun; Zhong, Shouming

doi:10.1109/tfuzz.2019.2901353

Cited by 57 publications

(12 citation statements)

References 35 publications

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“…We can conveniently study the complexity of the real system by discussing those series of networks, which will be applied to wider fields. For example, a similar method is adopted to investigate the complexity of city navigation [9] , as well as polymer research [10,11] and so on.…”

Section: Construction Of Incompatibility Hierarchical Networkmentioning

confidence: 99%

Scale-free and small-world properties in an incompatibility hierarchical network

Wang

Tian

2022

J. Phys.: Conf. Ser.

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In accordance with a particular iterative method, an incompatibility hierarchical network is introduced and the topological features of the network is investigated, It contains the degree distribution, diameter, clustering coefficient, second moment of distribution and degree correlations. The incompatibility hierarchical network is a simultaneous small-world, scale-free, assortative and divergent, which makes it possible to research the complexity of some real networks.

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Section: Construction Of Incompatibility Hierarchical Networkmentioning

confidence: 99%

Scale-free and small-world properties in an incompatibility hierarchical network

Wang

Tian

2022

J. Phys.: Conf. Ser.

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“…Furthermore, Wang et al. [25] discussed the delay‐dependent fuzzy sampled‐data control problem for the multiple coupling TSFCN. Hence, the synchronization of TSFCN under the FSC strategy is of great significance and is worthy of further expansion.…”

Section: Introductionmentioning

confidence: 99%

“…A sampled-data control scheme with the fuzzy model is proposed to synchronize the reaction-diffusion neural networks in [24]. Furthermore, Wang et al [25] discussed the delay-dependent fuzzy sampled-data control problem for the multiple coupling TSFCN. Hence, the synchronization of TSFCN under the FSC strategy is of great significance and is worthy of further expansion.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy sampled‐data exponential synchronization of T‐S fuzzy complex networks with discontinuous activations and mixed time‐varying delays

Zhang

et al. 2022

IET Control Theory & Appl

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This paper investigates the exponential synchronization for T‐S fuzzy complex networks (TSFCNs) with discontinuous activations and mixed time‐varying delays. Based on the IF‐THEN rules, the T‐S fuzzy model of complex networks has been obtained to approximate non‐linear dynamic systems via interpolating certain local linear system. A fuzzy sampled‐data control strategy is designed to achieve exponential stability for the TSFCN by constructing the bilateral time‐dependent Lyapunov–Krasovskii functional. Furthermore, according to the Filippov discontinuity theory, the exponential synchronization criteria of TSFCN with discontinuous activations and mixed time‐varying delays under the linear matrix inequality constraints are obtained. Finally, two numerical simulations are provided to illustrate the effectiveness and feasibility of the proposed method.

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“…Ulteriorly, in the respect of the event-triggered scheme [29]- [31], the sampled data will be delivered when it meets a certain event-triggered condition. Different from the ordinary sampled-data control protocol [24]- [28], the event-triggered control (ETC) mechanism can effectively improve limited network bandwidth by reducing data transmission rate. Naturally, it is significant to research stabilization for T-S FSs via event-triggered control.…”

Section: Introductionmentioning

confidence: 99%

An Improved Fuzzy Event-Triggered Asynchronous Dissipative Control to T–S FMJSs With Nonperiodic Sampled Data

Wang

Park

Yang

et al. 2021

IEEE Trans. Fuzzy Syst.

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In this paper, an investigation about the issue of fuzzy event-triggered asynchronous dissipative control for T-S fuzzy Markov jump systems (FMJSs) with unknown transition probabilities and nonuniform sampling is conducted. First of all, a mode-dependent looped Lyapunov-Krasovskii functional (LKF) is proposed, which takes full use of the available information not only from sawtooth structure characteristics but also from the inner sampling dynamics. Meanwhile, a hidden Markov chain is employed to depict the mismatch between the original system and the state-dependent fuzzy event-triggered controller. Then, based on the LKF methodology, matrix inequality techniques, and the reciprocally convex combination protocol, some relaxed criteria with respect to the stochastic stable of the considered system and the desired dissipative performance are derived, simultaneously. A numerical experiment is given to illustrate the significance of the theoretical results.

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Delay-Dependent Fuzzy Sampled-Data Synchronization of T–S Fuzzy Complex Networks With Multiple Couplings

Cited by 57 publications

References 35 publications

Scale-free and small-world properties in an incompatibility hierarchical network

Scale-free and small-world properties in an incompatibility hierarchical network

Fuzzy sampled‐data exponential synchronization of T‐S fuzzy complex networks with discontinuous activations and mixed time‐varying delays

An Improved Fuzzy Event-Triggered Asynchronous Dissipative Control to T–S FMJSs With Nonperiodic Sampled Data

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