ArticleCognitive neurodynamics2018
Finite-time and fixed-time synchronization analysis of inertial memristive neural networks with time-varying delays.
Article in Cognitive neurodynamics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Asymptotic Synchronization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delays via Event-Triggered Control Scheme.Micromachines · 2022Article
- Electric activities of time-delay memristive neuron disturbed by Gaussian white noise.Cognitive neurodynamics · 2020Article
- Synchronization control of quaternion-valued memristive neural networks with and without event-triggered scheme.Cognitive neurodynamics · 2019Article
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3 authors.
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Abstract
This paper investigates the finite-time synchronization and fixed-time synchronization problems of inertial memristive neural networks with time-varying delays. By utilizing the Filippov discontinuous theory and Lyapunov stability theory, several sufficient conditions are derived to ensure finite-time synchronization of inertial memristive neural networks. Then, for the purpose of making the setting time independent of initial condition, we consider the fixed-time synchronization. A novel criterion guaranteeing the fixed-time synchronization of inertial memristive neural networks is derived. Finally, three examples are provided to demonstrate the effectiveness of our main results.
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