Finite-Time Synchronization of Coupled Fractional-Order Systems via Intermittent IT-2 Fuzzy Control

IF 8.7 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Systems Man Cybernetics-Systems Pub Date : 2025-01-03 DOI:10.1109/TSMC.2024.3518513
Rongqiang Tang;Peng Shi;Xinsong Yang;Guanghui Wen;Lei Shi
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Abstract

Considering the memory property of the fractional calculus and the potential diverging state of the open-loop mode, existing analysis methods are difficult to solve the finite-time issue of intermittently controlled fractional-order systems (FOSs). This article studies the finite-time synchronization of coupled FOSs with nonlinearity via fuzzy intermittent quantized control and two novel fractional-order differential inequalities. An interval-type 2 Takagi-Sugeno fuzzy technique is introduced, which not only facilitates the handling of the nonlinear term in the error dynamic system, but also greatly simplifies the control design. Synchronization conditions in form of linear matrix inequalities are provided by designing a novel Lyapunov function on the basis of ellipsoidal norm. Moreover, two corollaries show the generality of the new analysis framework. Compared with existing results, it is amazing that the decreasing magnitude of Lyapunov function on the control intervals can be smaller than its increasing magnitude on the subsequent noncontrol interval. Finally, Chua’s system is used to clarify the effectiveness of theoretical outcomes.
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基于间歇IT-2模糊控制的耦合分数阶系统有限时间同步
考虑到分数阶微积分的记忆性和开环模式的潜在发散状态,现有的分析方法难以解决间歇控制分数阶系统的有限时间问题。利用模糊间歇量化控制和两个新的分数阶微分不等式,研究了非线性耦合FOSs的有限时间同步问题。引入区间2型Takagi-Sugeno模糊技术,不仅方便了误差动态系统中非线性项的处理,而且大大简化了控制设计。在椭球范数的基础上设计了一种新的Lyapunov函数,给出了线性矩阵不等式形式的同步条件。此外,两个推论显示了新分析框架的通用性。与已有的结果相比,令人惊讶的是,Lyapunov函数在控制区间上的递减幅度可以小于其在后续非控制区间上的递增幅度。最后,运用蔡氏体系来阐明理论成果的有效性。
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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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