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Based on the structure and the working mechanism of real neurons, a new mathematical model of the memristor-based switching networks (MSNs) with multiple links and time-varying delays is proposed. Further,… Click to show full abstract
Based on the structure and the working mechanism of real neurons, a new mathematical model of the memristor-based switching networks (MSNs) with multiple links and time-varying delays is proposed. Further, we study the asymptotic and finite-time synchronizations of the proposed MSNs via adaptive controller and intermittent controller. Based on the stability theory and the linear matrix inequality theory, some effective asymptotic and finite-time synchronization criteria are derived to ensure the stability of the error system between the drive and response networks. Finally, numerical simulations show the effectiveness and the correctness of our results.
Journal Title: Neural Computing and Applications
Year Published: 2018
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