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Synchronization of BAM Cohen--Grossberg FCNNs with mixed time delays | ||
| Iranian Journal of Fuzzy Systems | ||
| دوره 18، شماره 2، خرداد و تیر 2021، صفحه 159-173 اصل مقاله (1.21 MB) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2021.5921 | ||
| نویسندگان | ||
| M. Manikandan* 1؛ K. Ratnavelu2؛ P. Balasubramaniam3؛ S. H. Ong4 | ||
| 1Department of Actuarial Science and Applied Statistics, Faculty of Business & Management, UCSI University, Kuala Lumpur, Malaysia | ||
| 2Institute of Computer Science and Digital Innovation, UCSI University, Kuala Lumpur, Malaysia | ||
| 3Department of Mathematics, The Gandhigram Rural Institute, Deemed to be University, Gandhigram - 624 302, Dindigul, Tamilnadu, India | ||
| 4Department of Actuarial Science and Applied Statistics, Faculty of Business & Management, UCSI University, Kuala Lumpur, Malaysia | ||
| چکیده | ||
| 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. | ||
| کلیدواژه‌ها | ||
| Linear matrix inequality؛ fuzzy cellular neural networks؛ delay؛ synchronization؛ Cohen-Grossberg neural networks | ||
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آمار تعداد مشاهده مقاله: 305 تعداد دریافت فایل اصل مقاله: 342 |
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