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

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 cont...

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Vydáno v:Neural Networks Ročník 149; s. 137 - 145
Hlavní autoři: Gunasekaran, Nallappan, Ali, M. Syed, Arik, Sabri, Ghaffar, H.I. Abdul, Diab, Ahmed A. Zaki
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Elsevier Ltd 01.05.2022
Elsevier BV
Témata:
Algorithms
Average dwell-time
Complex dynamical networks
Finite-time boundedness
Lyapunov method
Neural Networks, Computer
Sampled-data control
Switching signal
Time Factors
Sampled-data control
Lyapunov method
Average dwell-time
Switching signal
Complex dynamical networks
Finite-time boundedness
ISSN:0893-6080, 1879-2782, 1879-2782
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
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content type line 23
ISSN:0893-6080
1879-2782
1879-2782
DOI:10.1016/j.neunet.2022.02.013