Finite-time and sampled-data synchronization of complex dynamical networks subject to average dwell-time switching signal

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Gunasekaran N., Ali M. S., ARIK S., Ghaffar H. I. A., Diab A. A. Z.

NEURAL NETWORKS, cilt.149, ss.137-145, 2022 (SCI-Expanded, Scopus)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 149
• Basım Tarihi: 2022
• Doi Numarası: 10.1016/j.neunet.2022.02.013
• Dergi Adı: NEURAL NETWORKS
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Applied Science & Technology Source, BIOSIS, Biotechnology Research Abstracts, Communication Abstracts, Compendex, Computer & Applied Sciences, EMBASE, INSPEC, MEDLINE, Psycinfo, zbMATH
• Sayfa Sayıları: ss.137-145
• Anahtar Kelimeler: Average dwell-time, Complex dynamical networks, Finite-time boundedness, Lyapunov method, Sampled-data control, Switching signal, RECURRENT NEURAL-NETWORKS, VARYING DELAYS, SYSTEMS, PASSIVITY, CRITERIA
• İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

This study deals with the finite-time synchronization problem of a class of switched complex dynamical networks (CDNs) with distributed coupling delays via sampled-data control. First, the dynamical model is studied with coupling delays in more detail. The sampling system is then converted to a continuous time-delay system using an input delay technique. We obtain some unique and less conservative criteria on exponential stability using the Lyapunov-Krasovskii functional (LKF), which is generated with a Kronecker product, linear matrix inequalities (LMIs), and integral inequality. Furthermore, some sufficient criteria are derived by an average dwell-time method and determine the finite-time boundedness of CDNs with switching signal. The proposed sufficient conditions can be represented in the form of LMIs. Finally, numerical examples are given to show that the suggested strategy is feasible. (c) 2022 Elsevier Ltd. All rights reserved.