期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
卷 34, 期 7, 页码 3624-3635出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2021.3116069
关键词
Delays; Synchronization; Delay effects; Artificial neural networks; Perturbation methods; Nonlinear systems; Transmission line matrix methods; Coupled neural networks (CNNs); delayed impulsive control; distributed delay; impulsive differential inequality; synchronization; time-varying delay
This article investigates the synchronization issue of a type of uncertain coupled neural networks involving time-varying delay with unmeasured or unknown bound by delayed impulsive control with distributed delay. A new Halanay-like delayed differential inequality is presented, and sufficient criteria are obtained to achieve global mu-synchronization of the delayed neural networks. A numerical simulation is provided to demonstrate the validity of the obtained theoretical results.
This article investigates the issue of synchronization for a type of uncertain coupled neural networks (CNNs) involving time-varying delay with unmeasured or unknown bound by delayed impulsive control with distributed delay. A new Halanay-like delayed differential inequality is presented, and both cases of impulsive control and impulsive perturbation are well-considered. Stemmed from this new inequality and techniques of linear matrix inequalities (LMIs), some sufficient criteria are obtained to achieve both dynamically and statically global mu-synchronization of the delayed CNNs, and a distributed-delay-dependent impulsive controller is designed. A numerical simulation is provided to demonstrate the validity of the obtained theoretical results.
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