Strictly intermittent quantized control for fixed/predefined-time cluster lag synchronization of stochastic multi-weighted complex networks

被引:17
作者
Qin, Xuejiao [1 ]
Jiang, Haijun [1 ]
Qiu, Jianlong [2 ]
Hu, Cheng [1 ]
Ren, Yue [1 ]
机构
[1] Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830017, Peoples R China
[2] Linyi Univ, Sch Automation & Elect Engn, Linyi 276005, Peoples R China
基金
中国国家自然科学基金;
关键词
Fixed-time; Predefined-time; Cluster lag synchronization; Stochastic multi-weighted complex    network; Strictly intermittent quantized control; MEMRISTIVE NEURAL-NETWORKS; FRACTIONAL-ORDER; DYNAMICAL NETWORKS; EXPONENTIAL SYNCHRONIZATION; PINNING CONTROL; DELAYS;
D O I
10.1016/j.neunet.2022.10.033
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article addresses the fixed-time (F-T) and predefined-time (P-T) cluster lag synchronization of stochastic multi-weighted complex networks (SMWCNs) via strictly intermittent quantized control (SIQC). Firstly, by exploiting mathematical induction and reduction to absurdity, a novel F-T stability lemma is proved and an accurate estimation of settling time (ST) is obtained. Subsequently, by virtue of the proposed F-T stability, some simple conditions that ensure the F-T cluster lag synchronization of SMWCNs are derived by developing a SIQC strategy. Furthermore, the P-T cluster lag synchronization is also explored based on a SIQC design, where the ST can be predefined by an adjustable constant of the controller. Note that the designed controllers here are simpler and more economical than the traditional design whose the linear part is still activated during the rest interval. Finally, two numerical examples are provided to verify the effectiveness of the theoretical results.(c) 2022 Elsevier Ltd. All rights reserved.
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页码:258 / 271
页数:14
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