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Adaptive finite-time quantized synchronization of complex dynamical networks with quantized time-varying delayed couplings
This paper investigates the finite-time synchronization problem of the complex dynamical networks (CDNs) with quantized time-varying delayed couplings and adaptive coupling strengths. A novel finite-time adaptive quantized control algorithm and the corresponding updated laws are developed to address...
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Published in: | Neurocomputing (Amsterdam) 2021-03, Vol.431, p.90-99 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This paper investigates the finite-time synchronization problem of the complex dynamical networks (CDNs) with quantized time-varying delayed couplings and adaptive coupling strengths. A novel finite-time adaptive quantized control algorithm and the corresponding updated laws are developed to address the aforementioned problem. Then based on the convex combination technique and nonsmooth analysis, the sufficient conditions are derived to guarantee the finite-time synchronization in the sense of Lyapunov stability. Finally, numerical simulations are performed to verify the effectiveness and feasibility of the proposed algorithm. |
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ISSN: | 0925-2312 1872-8286 |
DOI: | 10.1016/j.neucom.2020.12.038 |