Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays

Manikandan, M. and Ratnavelu, K. and Balasubramaniam, P. and Ong, S. H. (2021) Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays. Iranian journal of Fuzzy Systems, 18 (2). pp. 159-173. ISSN 1735-0654,

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Abstract

This paper deals with the synchronization problem of bidirectional associative memory (BAM) Cohen-Grossberg fuzzy cellular neural networks (CGFCNNs) with discrete time-varying and unbounded distributed delays. Some sufficient conditions are obtained to guarantee the robust synchronization of BAM CGFCNNs with discrete time-varying and unbounded distributed delays subjected to parametric uncertainty by using Lyapunov-Krasovskii (LK) functional and Linear matrix inequality (LMI) approach. Sufficient criteria ensure that the error dynamics of considered system is globally asymptotically stable. Finally, numerical examples with simulations are given to show the efficacy of the derived results.

Item Type: Article
Funders: UCSI University Research Excellence & Innovation Grant (REIG) (REIG-FBM-2020/033), University of Malaya, Frontier Research Grant 2017 (FG037-17AFR)
Uncontrolled Keywords: Linear matrix inequality; Fuzzy cellular neural networks; Delay; Synchronization; Cohen-Grossberg neural networks
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 12 Apr 2022 07:02
Last Modified: 12 Apr 2022 07:02
URI: http://eprints.um.edu.my/id/eprint/26682

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