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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 4/2013

01.08.2013 | Original Article

Synchronization of competitive neural networks with different time scales and time-varying delay based on delay partitioning approach

verfasst von: Qintao Gan

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 4/2013

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Abstract

In this paper, the synchronization problem for a class of competitive neural networks with different time scales and time-varying delay is investigated. A novel delay partitioning approach is developed to derive a delay-dependent condition guaranteeing the response system can be synchronized with the drive system. The design of the gain matrix of the linear feedback controller can be achieved by solving a linear matrix inequality. By constructing a novel Lyapunov–Krasovskii functional, which can guarantee the new synchronization conditions to be less conservative than those in the literature. This paper also presents an illustrative example and uses simulated results of this example to show the feasibility and effectiveness of the proposed scheme.
Vorheriger Artikel Self organizing map and wavelet based image compression
Nächster Artikel Hybrid (fuzzy-stochastic) modelling in construction operations management

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Metadaten
Titel
Synchronization of competitive neural networks with different time scales and time-varying delay based on delay partitioning approach
verfasst von
Qintao Gan
Publikationsdatum
01.08.2013
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 4/2013
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-012-0097-5

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