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...
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Univ Sistan & Baluchestan
2021
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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, |
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http://eprints.um.edu.my/ |
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QA Mathematics |
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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 |
13.251813 |