Finite-Time Output Synchronization for Output-Coupled Reaction-Diffusion Neural Networks With Directed Topology

被引：19
作者：
Qiu, Qian [1 ,2 ]
Su, Housheng [1 ,2 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Hongshan 430074, Peoples R China
[2] Key Lab Image Proc & Intelligent Control Educ Min, Wuhan 430074, Peoples R China
来源：
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING | 2022年 / 9卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Synchronization; Couplings; Topology; Artificial neural networks; Network topology; Protocols; Adaptive control; FTOS; directed topology; coupled RDNNs; output coupling; adaptive coupling weights; PASSIVITY; ARRAY;
D O I：
10.1109/TNSE.2022.3144305
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
For output-coupled reaction-diffusion neural networks (RDNNs), the finite-time output synchronization (FTOS) issue is researched under directed topology in this paper. By virtue of the Lyapunov approach, inequality skills and important lemmas, the feedback control protocol is designed to obtain the FTOS criterion for coupled RDNNs with output coupling. Furthermore, to ensure that the output-coupled RDNNs realize output synchronization in finite time, a novel adaptive coupling weights control strategy and output feedback controller are proposed. Finally, the relevant simulation results are presented to demonstrate the correctness of our obtained theorems respectively.
引用
收藏
页码：1386 / 1394
页数：9
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