Adaptive finite-time synchronization of stochastic mixed time-varying delayed memristor-based neural networks
This paper focuses on the finite-time synchronization of stochastic memristor-based neural networks with time-varying discrete and distributed delays and discontinuous nonlinear functions via the adaptive state-feedback controller. Based on the theories of set-valued mappings and stochastic differen...
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Published in | Neurocomputing (Amsterdam) Vol. 452; pp. 781 - 788 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
10.09.2021
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Subjects | |
Online Access | Get full text |
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