期刊论文

Yang, Xinsong

英文

Neural Computing and Applications

0941-0643

2021

33

13

7943-7951

10.1007/s00521-020-05539-6

This work was jointly supported by the National Natural Science Foundation of China (NSFC) (Nos. 61673078, 61903052, 62003065), the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN202000510), the Basic and Frontier Research Project of Chongqing (No. cstc2018jcyjAX0369), and the Scientific Research Fund of Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering (No. 2018MMAEZD01), Foundation Project of Chongqing Normal University (No. 20XLB003). This work was jointly supported by the National Natural Science Foundation of China (NSFC) (Nos. 61673078, 61903052, 62003065), the Science and Technology Research Program of Chongqing Municipal Education Commission (Grant No. KJQN202000510), the Basic and Frontier Research Project of Chongqing (No. cstc2018jcyjAX0369), and the Scientific Research Fund of Hunan Provincial Key Laboratory of Mathematical Modeling and Analysis in Engineering (No. 2018MMAEZD01), Foundation Project of Chongqing Normal University (No. 20XLB003).

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This paper aims to establish several synchronization criteria of competitive complex networks (CCNs) by using fixed-time (FDT) control. In CCNs, the variations of different nodes are diverse if they are influenced by external environment. Here, we design two types of controller to deal with the different variations of nodes. Meanwhile, these designed controllers guarantee the synchronization of the CCNs in a given time. The estimated settling time improves corresponding results in the literature. Furthermore, based on rigorous mathematical proo...