Hybrid multisynchronization of coupled multistable memristive neural networks with time delays
In this paper, we focus on synchronization issue of coupled multistable memristive neural networks (CMMNNs) with time delay under multiple stable equilibrium states. First, we build delayed CMMNNs consisting of one master subnetwork without controller and N−1 identical slave subnetworks with controllers, and every subnetwork has n nodes. Moreover, this paper investigates multistability of delayed CMMNNs with continuous nonmonotonic piecewise linear activation function (PLAF) owning 2r+2 corner points. By using the theorems of differential inclusion and fixed point, sufficient conditions are derived such that master subnetwork of CMMNNs can acquire (r+2)n exponentially stable equilibrium points, stable periodic orbits or hybrid stable equilibrium states. Then, this paper proposes hybrid multisynchronization of delayed CMMNNs related with various external inputs under multiple stable equilibrium states for the first time. There exist (r+2)n hybrid multisynchronization manifolds in CMMNNs with different initial conditions and external inputs. Finally, two numerical simulations are given to illustrate the effectiveness of the obtained results.
Item Type | Article |
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Uncontrolled Keywords | Controller; External inputs; Hybrid multisynchronization; Memristive neural networks; Multistability |
Subjects |
Computer Science(all) > Computer Science Applications Neuroscience(all) > Cognitive Neuroscience Computer Science(all) > Artificial Intelligence |
Date Deposited | 27 Jul 2024 01:42 |
Last Modified | 27 Jul 2024 01:42 |
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- Communications and Intelligent Systems
- Centre for Engineering Research
- School of Physics, Engineering & Computer Science
- Department of Engineering and Technology
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