Impulsive Consensus of Fractional-Order Takagi–Sugeno Fuzzy Multiagent Systems With Average Dwell Time Approach and Its Applications: Achieving Finite-Time Consensus

IF 1.9 Q3 COMPUTER SCIENCE, CYBERNETICS IEEE Systems Man and Cybernetics Magazine Pub Date : 2022-07-01 DOI:10.1109/msmc.2022.3168994
G. Narayanan, M. Ali, Jianan Wang, S. A. Kauser, A. Diab, H. I. A. Ghaffar
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引用次数: 3

Abstract

The Takagi–Sugeno (T–S) fuzzy-based impulsive consensus problem of a fractional-order multiagent system (FOMAS) with an average dwell time (ADT) is investigated. FOMASs are nonlinear systems, and they are modeled as linear subsystems using a T–S fuzzy model. We study a T–S fuzzy FOMAS subject to a class of impulse time sequences with the ADT approach. In this article, an impulsive control scheme is proposed to make the tracking error converge in a finite-time consensus into a small neighborhood of origin. Based on impulsive fractional differential equations theory, the Lyapunov functional approach, and the ADT technique, an impulsive controller is designed to achieve finite-time consensus of a T–S fuzzy FOMAS. Finally, through numerical as well as practical examples, the effectiveness and superiority of the proposed approach are validated.
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具有平均停留时间方法的分数阶Takagi-Sugeno模糊多智能体系统的脉冲一致性及其应用:实现有限时间一致性
研究具有平均停留时间(ADT)的分数阶多智能体系统(FOMAS)的Takagi-Sugeno (T-S)模糊冲动性一致性问题。FOMASs是非线性系统,使用T-S模糊模型将其建模为线性子系统。用ADT方法研究了一类脉冲时间序列下的T-S模糊foas。本文提出了一种脉冲控制方案,使跟踪误差在有限时间共识下收敛到小的原点邻域。基于脉冲分数阶微分方程理论、Lyapunov泛函方法和ADT技术,设计了一种脉冲控制器,以实现T-S模糊FOMAS的有限时间一致性。最后,通过数值算例和实际算例验证了所提方法的有效性和优越性。
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IEEE Systems Man and Cybernetics Magazine
IEEE Systems Man and Cybernetics Magazine COMPUTER SCIENCE, CYBERNETICS-
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