Synchronization analysis of inertial memristive neural networks with time-varying delays

• Autorzy: Wei R. , Cao J.

Identyfikatory

DOI

10.1515/jaiscr-2018-0017

• Języki publikacji: EN

Abstrakty

EN

This paper investigates the global exponential synchronization and quasi-synchronization of inertial memristive neural networks with time-varying delays. By using a variable transmission, the original second-order system can be transformed into first-order differential system. Then, two types of drive-response systems of inertial memristive neural networks are studied, one is the system with parameter mismatch, the other is the system with matched parameters. By constructing Lyapunov functional and designing feedback controllers, several sufficient conditions are derived respectively for the synchronization of these two types of drive-response systems. Finally, corresponding simulation results are given to show the effectiveness of the proposed method derived in this paper.

Słowa kluczowe

EN

inertial; memristive; neural network; synchronization

• Wydawca: University of Social Sciences
• Czasopismo: Journal of Artificial Intelligence and Soft Computing Research
• Rocznik: 2018
• Tom: Vol. 8, No. 4
• Strony: 269--282
• Opis fizyczny: Bibliogr. 28 poz., rys.

Twórcy

autor

Wei R.

• School of Mathematics, Southeast University, al. Southeast University, Nanjing, China

autor

Cao J.

• School of Mathematics, Southeast University, al. Southeast University, Nanjing, China

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).