Discrete Analogue for a Class of Impulsive Cohen–Grossberg Neural Networks with Asynchronous Time-Varying Delays-Reference-Cited by-同舟云学术

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Discrete Analogue for a Class of Impulsive Cohen–Grossberg Neural Networks with Asynchronous Time-Varying Delays

Published:2018-03-14 Issue:1 Volume:49 Page:331-345
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Li Liangliang,Li Chuandong^ORCID

Funder

Scientific and Technological Research Program of Chongqing Municipal Education Commission

Youth Fund of Chongqing Three Gorges University

National Natural Science Foundation of China

Project Supported by Chongqing Municipal Key Laboratory of Institutions of Higher Education

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/article/10.1007/s11063-018-9819-3/fulltext.html

Reference26 articles.

1. Cohen M, Grossberg S (1983) Absolute stability and global pattern formation and parallel memory storage by competitive neural networks. IEEE Trans Syst Man Cybern 13:815–826

2. Mohamad S, Gopalsamy K (2003) Exponential stability of continuous-time and discrete-time cellular neural networks with delays. Appl Math Comput 135:17–38

3. Li X, Liu B, Wu J (2016) Sufficient stability conditions of nonlinear differential systems under impulsive control with state-dependent delay. IEEE Trans Automat Control. https://doi.org/10.1109/TAC.2016.2639819

4. Rios J, Alanis A, Arana-Daniel N, Lopez-Franco C (2017) Recurrent high order neural observer for discrete-time non-linear systems with unknown time-delay. Neural Process Lett 46(2):663–679

5. Wen S, Zeng Z, Huang T, Zeng Q (2015) Lag synchronization of switched neural networks via neural activation function and applications in image encryption. IEEE Trans Neural Netw Learn Syst 26:1493–1502

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