文献类型：期刊文献

英文题名：Fixed-time synchronization for coupled delayed neural networks with discontinuous or continuous activations

作者：Lu, Hui[1];He, Wangli[2];Han, Qing-Long[1,3];Peng, Chen[1]

机构：[1]Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China;[2]East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[3]Swinburne Univ Technol, Sch Software & Elect Engn, Melbourne, Vic 3122, Australia

年份：2018

卷号：314

起止页码：143

外文期刊名：NEUROCOMPUTING

收录：;EI(收录号：20182905548049);WOS:【SCI-EXPANDED(收录号:WOS:000443718400014)】；

基金：This work was supported by the National Natural Science Foundation of China (61773163), Fundamental Research Funds for Central Universities (222201717006), and Natural Science Foundation of Shanghai (17ZR1444600), Young Elite Scientists Sponsorship Program CAST (2016QNRC001), Shanghai Rising-Star Program (18QA1401400) and the 111 Project (B17017).

语种：英文

外文关键词：Neural networks; Time-delays; Fixed-time synchronization; Continuous activations; Discontinuous activations

摘要：This paper is concerned with fixed-time synchronization of coupled delayed neural networks with discontinuous or continuous activation functions. Two discontinuous control protocols under undirected or directed topologies are proposed to guarantee that coupled delayed neural networks achieve synchronization with a desired trajectory in fixed time, respectively. Several sufficient criteria for fixed-time synchronization are obtained. Furthermore, an upper bound of the settling time is theoretically estimated, which is independent on initial conditions. Finally, two numerical examples are given to illustrate the effectiveness of the synchronization criteria. (C) 2018 Elsevier B.V. All rights reserved.