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Finite-time synchronization of T-S fuzzy memristive neural networks with time delay

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成果类型:
期刊论文
作者:
Gong, Shuqing;Guo, Zhenyuan;Wen, Shiping
通讯作者:
Guo, Zhenyuan(zyguo@hnu.edu.cn)
作者机构:
[Gong, Shuqing] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Hunan, Peoples R China.
[Guo, Zhenyuan] Hunan Univ, Sch Math, Changsha 410082, Hunan, Peoples R China.
[Wen, Shiping] Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Artificial Intelligence, Ultimo, NSW 2007, Australia.
通讯机构:
[Zhenyuan Guo] S
School of Mathematics, Hunan University, Changsha, Hunan 410082, China
语种:
英文
关键词:
Finite-time synchronization;Fuzzy control;Fuzzy system;Memristive neural network;Pseudorandom number generator;Time delay
期刊:
Fuzzy Sets and Systems
ISSN:
0165-0114
年:
2023
卷:
459
页码:
67-81
基金类别:
Research supported by National Natural Science Foundation of China ( 62276094 ), Education Department of Hunan Province ( 19C0030 ), and the Natural Science Foundation of Hunan Province ( 2021JJ40555 ).
机构署名:
本校为第一机构
院系归属:
数学与统计学院
摘要:
This paper focuses on the study of synchronization problem for T-S fuzzy memristive neural networks with time delay. First, a delay-independent nonlinear fuzzy control is designed. Second, under the designed fuzzy control, two kinds of finite-time synchronization criteria are obtained by comparison method and Lyapunov function method, respectively. Furthermore, the settling time is estimated. Finally, a numerical simulation example is provided to demonstrate the effectiveness and feasibility of the theoretical results, and an application of the obtained theories is also gi...

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