Fixed/Preassigned-time synchronization of high-dimension-valued fuzzy neural networks with time-varying delays via nonseparation approach

作     者：Pang, Mengzhen Zhang, Ziye Wang, Xianghua Wang, Zhen Lin, Chong 

作者机构：Shandong Univ Sci & Technol Coll Math & Syst Sci Qingdao 266590 Peoples R China Shandong Univ Sci & Technol Coll Elect Engn & Automat Qingdao 266590 Peoples R China Qingdao Univ Inst Complex Sci Qingdao 266071 Peoples R China 

出 版 物：《KNOWLEDGE-BASED SYSTEMS》 (知识库系统)

年 卷 期：2022年第255卷第0期

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Sci- ence Foundation of China Natural Science Foundation of Shandong Province of China Science and Technology Support Plan for Youth Innovation of Colleges and Universities of Shandong Province of China Research Fund for the Taishan Scholar Project of Shandong Province of China 61503222 61973197 62173214 ZR2021MF100 2019KJI005 

主　　题：High-dimension-valued fuzzy neural  networks Fixed-time synchronization Preassigned-time synchronization Nonseparation approach 

摘      要：For the high-dimension-valued fuzzy neural networks (HDVFNNs) models with time-varying delays, the fixed/preassigned-time synchronization is explored deeply in this paper. Instead of the separation approach, a direct method in complex field or quaternion skew field is fully utilized, which is suitable for a wider range. Furthermore, two fuzzy controllers without sign function based on the direct method are designed, which can effectively avoid the frequent switching and chattering phenomena involved by sign functions. Then, we derive two sufficient conditions to realize the desired the fixed/preassigned-time synchronization of the addressed HDVFNNs. Finally, the availability of notional researches has been testified by two numerical simulations.(c) 2022 Elsevier B.V. All rights reserved.