期刊
CHAOS SOLITONS & FRACTALS
卷 156, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2022.111866
关键词
Shunting inhibitory cellular neural networks; Memristive memory; Time-varying delay; Feedback control; Finite-time synchronization; Fixed-time synchronization
资金
- Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan Grant [OR11466188]
- Nazarbayev University under Collaborative Research Program [11022021CRP1509]
This paper investigates the finite-time and fixed-time synchronization problems of retarded shunting inhibitory cellular neural networks. Several sufficient conditions to ensure the synchronization of such networks are derived by constructing suitable Lyapunov functions and feedback control schemes. Numerical simulations are conducted to illustrate the effectiveness of the theoretical results.
In the present paper, we investigate both the finite-time and fixed-time synchronization of retarded shunting inhibitory cellular neural networks. By constructing suitable Lyapunov functions and feedback control schemes we derive several sufficient conditions to guarantee finite-time and fixed-time synchronization of such networks. Finally, to illustrate the effectiveness of our theoretical results we consider examples with numerical simulations.(c) 2022 Elsevier Ltd. All rights reserved.
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