Sampled-Data-Based $\mathcal {H}_{\infty }$ Fuzzy Pinning Synchronization of Complex Networked Systems With Adaptive Event-Triggered Communications

Wang, Xin; Park, Ju H.; Yang, Huilan; Ye, Mao

doi:10.1109/tfuzz.2021.3078643

Cited by 15 publications

(9 citation statements)

References 41 publications

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“…Liu et al (2021) have designed a finite-time fuzzy controller for synchronization for a group of T-S fuzzy riotous delayed neural networks. Moreover, in the work by Wang et al (2021a, 2021b), novel sampled-data-based T-S fuzzy methods are designed to synchronize and control of Markovian jump systems and complex networked systems. In the work by Vafamand et al (2018), based on T-S fuzzy model and linear matrix inequality (LMI) method, a novel controller is proposed to synchronize the hyper-chaotic systems with application in secure communication for non-ideal channels.…”

Section: Introductionmentioning

confidence: 99%

Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost

Berardehi

Zhang

Taheri

et al. 2023

Transactions of the Institute of Measurement and Control

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One of the fundamental topics in engineering that has many applications in applied sciences is guaranteed cost control and synchronization of chaotic dynamical systems. In this paper, a Takagi–Sugeno (T-S) fuzzy model-free state feedback (MFSF) technique is used to synchronize and stabilize various complex fractional-order systems (FOSs) in the presence of input saturation. A T-S fuzzy MFSF method is developed to suppress the inappropriate behavior of the FOSs without any unpleasant chattering phenomena using the non-integer form of the Lyapunov stability theory (LST) and linear matrix inequality concept. The suggested MFSF technique may be used to stabilize and synchronize FOSs with model uncertainty, external disturbances, and input saturation. The designed method has the advantages of being a model-free technique, being resistant to uncertainties, being simple to use, and achieving the equilibrium point quickly at a guaranteed cost. Furthermore, the effectiveness and application of the T-S fuzzy MFSF are proven using the suggested approach to synchronize two separate canonical chaotic FOSs and stabilize the permanent magnet synchronous motor (PMSM) chaotic system. Two comparisons demonstrate the efficacy and advantages of the T-S fuzzy approach over other existing control methods.

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Section: Introductionmentioning

confidence: 99%

Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost

Berardehi

Zhang

Taheri

et al. 2023

Transactions of the Institute of Measurement and Control

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“…A basic problem of multi-agent systems is the consensus control, which aims to develop appropriate control algorithms so that all agents realize a shared objective only through communication with their neighbors. 1,2 In reality, it should be emphasized that one of the most common problems in the process of reaching consensus in multi-agent systems is partial failure of actuators or sensors. If the actuator failure is not handled appropriately, the performance of the system may deteriorate or possibly turn unstable.…”

Section: Introductionmentioning

confidence: 99%

“…During the past few decades, research on distributed coordinated control of multi‐agent systems has increased substantially. A basic problem of multi‐agent systems is the consensus control, which aims to develop appropriate control algorithms so that all agents realize a shared objective only through communication with their neighbors 1,2 . In reality, it should be emphasized that one of the most common problems in the process of reaching consensus in multi‐agent systems is partial failure of actuators or sensors.…”

Section: Introductionmentioning

confidence: 99%

Nonsingular fixed‐time fault‐tolerant control for multiple Euler–Lagrange systems without continuous communication

Hua,

Yao,

Liu

et al. 2023

Intl J Robust & Nonlinear

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This article is concerned with the fixed‐time fault‐tolerant control problem of multiple Euler–Lagrange systems (MELSs) with intermittent communication, actuator faults and input disturbances. A nonsingular fixed‐time control framework with three parts is built for the above problem. In the first part, a novel adaptive controller is proposed for MELSs to ensure the fixed‐time stability of sliding modes while successfully solving the actuator faults, parameter uncertainties and unknown disturbances. In the second part, the fixed‐time estimators based on event‐triggered communication are designed by an error decomposition approach. In the third part, an auxiliary system is introduced for the singularity problem and sufficient condition for achieving the consensus is rigorously proved by synthesizing the results of the above two parts. The key feature of the proposed control framework is that the convergence time is constrained by a constant without involving initial states, and the singularity problems of fixed‐time control is avoided. Finally, simulation examples are provided to prove the efficacy of the proposed algorithms.

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“…In the process of data transmission, because there is a large amount of transmission data in the complex network, some of which do not need to be transmitted, an increasing number of scholars have studied event-triggered sampled-data (ETSD) control [28][29][30][31][32][33][34]. The ETSD control mechanism can only transmit the sampled signal to the controller if the predefined conditions are satisfied.…”

Section: Introductionmentioning

confidence: 99%

“…The ETSD control mechanism can only transmit the sampled signal to the controller if the predefined conditions are satisfied. In [28], a threshold function was designed, which can judge whether the signal is transmitted according to the recent and current sampled signal. This allows for better savings in communication sources.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered sampled‐data synchronization of complex networks with uncertain inner coupling and time‐varying delays

Yan,

Zhao,

Liu

et al. 2023

Asian Journal of Control

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This paper focuses on event‐triggered sampled‐data synchronization of uncertain complex networks with time‐varying coupled delays. First of all, a discrete event‐triggered sampled‐data control scheme is adopted, which not only makes the state of the system be monitored in discrete time, but also the sampling information is effectively transmitted. The proposed event‐triggered mechanism effectively prevents Zeno behavior. In addition, we also use some novel piecewise time‐dependent Lyapunov–Krasovskii and Wirtinger inequality to handle the time‐varying delays and parameter uncertainties of complex networks. Then, synchronization criteria are given for uncertain complex networks. Finally, the simulation results show that the control scheme can significantly reduce the number of transmitted signals while maintaining the uncertain complex networks synchronization.

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Sampled-Data-Based $\mathcal {H}_{\infty }$ Fuzzy Pinning Synchronization of Complex Networked Systems With Adaptive Event-Triggered Communications

Cited by 15 publications

References 41 publications

Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost

Implementation of T-S fuzzy approach for the synchronization and stabilization of non-integer-order complex systems with input saturation at a guaranteed cost

Nonsingular fixed‐time fault‐tolerant control for multiple Euler–Lagrange systems without continuous communication

Event‐triggered sampled‐data synchronization of complex networks with uncertain inner coupling and time‐varying delays

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