控制理论(社会学)
计算机科学
同步(交流)
反应扩散系统
模糊逻辑
扩散
模糊控制系统
统计物理学
数学
物理
拓扑(电路)
控制(管理)
人工智能
数学分析
热力学
组合数学
作者
Xiaofang Hu,Leimin Wang,Chuan‐Ke Zhang,Yong He
出处
期刊:IEEE Transactions on Fuzzy Systems
[Institute of Electrical and Electronics Engineers]
日期:2024-04-01
卷期号:32 (4): 2307-2317
被引量:3
标识
DOI:10.1109/tfuzz.2024.3349599
摘要
This article concentrates on the fixed-time synchronization (FxTS) problem for fuzzy complex dynamical networks (CDNs) with reaction-diffusion terms and multiple weights. First, a novel fixed-time convergence method is proposed, which relaxes the constraint on the derivative of the constructed Lyapunov functional and incorporates some of the existing results as special cases. Then, an intermittent pinning control scheme is designed to make the state trajectories of all nodes of fuzzy CDNs converge to the equilibrium point within a fixed time, which greatly reduces the control cost. On the basis of the newly presented convergence method and control scheme, several easy-to-verify criteria in the form of linear matrix inequalities are provided to guarantee the FxTS for fuzzy CDNs, and a more accurate estimation of the settling time is obtained. Finally, two examples are given to clarify the correctness of the established theoretical results.
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