Cover Image

Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays

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 CGF...

Full description

Saved in:
Bibliographic Details
Main Authors: Manikandan, M., Ratnavelu, K., Balasubramaniam, P., Ong, S. H.
Format: Article
Published: Univ Sistan & Baluchestan 2021
Subjects:
QA Mathematics
Online Access:http://eprints.um.edu.my/26682/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.26682
record_format eprints
spelling my.um.eprints.266822022-04-12T07:02:19Z http://eprints.um.edu.my/26682/ Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays Manikandan, M. Ratnavelu, K. Balasubramaniam, P. Ong, S. H. QA Mathematics 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. Univ Sistan & Baluchestan 2021-04 Article PeerReviewed 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,
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA Mathematics
spellingShingle QA Mathematics
Manikandan, M.
Ratnavelu, K.
Balasubramaniam, P.
Ong, S. H.
Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays
description 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.
format Article
author Manikandan, M.
Ratnavelu, K.
Balasubramaniam, P.
Ong, S. H.
author_facet Manikandan, M.
Ratnavelu, K.
Balasubramaniam, P.
Ong, S. H.
author_sort Manikandan, M.
title Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays
title_short Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays
title_full Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays
title_fullStr Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays
title_full_unstemmed Synchronization of BAM Cohen-Grossberg FCNNs with mixed time delays
title_sort synchronization of bam cohen-grossberg fcnns with mixed time delays
publisher Univ Sistan & Baluchestan
publishDate 2021
url http://eprints.um.edu.my/26682/
_version_ 1735409444315987968
score 13.160551

Similar Items