Local and Global Finite-Time Synchronization of Fractional-Order Complex Dynamical Networks via Hybrid Impulsive Control

IF 8.6 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-01-01 DOI:10.1109/TSMC.2024.3520135
Chen Wei;Xiaoping Wang;Fangmin Ren;Zhigang Zeng
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Abstract

This article focuses on achieving the finite-time synchronization (FTS) for fractional complex dynamical networks (FCDNs) using hybrid impulsive control. Initially, a novel framework for local FTS is developed, building upon the relaxed inequality ${}_{t_{k}}^{C}D_{t}^{\alpha }V(t) \le \chi V(t) - \eta $ . To expand the attraction domain within the local FTS framework, a piecewise fractional-order differential inequality based on impulsive control systems is proposed. Subsequently, a new hybrid control strategy is designed by integrating a simple feedback controller with an impulsive controller involving a finite number of impulses, which can be accurately calculated using the proposed impulsive degree. Additionally, a set of local/global FTS criteria is formulated, and the settling time can be explicitly estimated. Lastly, an illustrative example is presented to demonstrate the effectiveness of the derived results.
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本文的重点是利用混合脉冲控制实现分数复杂动力学网络(FCDN)的有限时间同步(FTS)。首先,在松弛不等式 ${}_{t_{k}}^{C}D_{t}^{\alpha }V(t) \le \chi V(t) - \eta $ 的基础上,提出了局部 FTS 的新框架。 为了在局部 FTS 框架内扩展吸引域,提出了基于脉冲控制系统的片断分数阶微分不等式。随后,设计了一种新的混合控制策略,将简单反馈控制器与涉及有限脉冲数的脉冲控制器整合在一起,利用提出的脉冲度可以精确计算脉冲数。此外,还制定了一套局部/全局 FTS 准则,并能明确估算出稳定时间。最后,介绍了一个示例来证明推导结果的有效性。
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来源期刊
IEEE Transactions on Systems Man Cybernetics-Systems
IEEE Transactions on Systems Man Cybernetics-Systems AUTOMATION & CONTROL SYSTEMS-COMPUTER SCIENCE, CYBERNETICS
CiteScore
18.50
自引率
11.50%
发文量
812
审稿时长
6 months
期刊介绍: The IEEE Transactions on Systems, Man, and Cybernetics: Systems encompasses the fields of systems engineering, covering issue formulation, analysis, and modeling throughout the systems engineering lifecycle phases. It addresses decision-making, issue interpretation, systems management, processes, and various methods such as optimization, modeling, and simulation in the development and deployment of large systems.
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