Abstract
In this paper, robust exponential synchronization of memristor-based neural networks (MNNs) with nonidentical characteristics is investigated. Coefficient mismatch, time-varying delay mismatch, and activation function mismatch are considered between the drive and the response MNNs. Pinning control strategy is developed to realize robust exponential synchronization and the stability criteria is established by using the Lyapunov function method and differential inclusion theory. Furthermore, the stable region of controller parameters is computed to guarantee that the synchronization errors enter a predetermined error bound within given settling time. Finally, the effectiveness of the proposed methods is verified by the numerical simulations. The methods presented in this paper offer novel schemes for robust exponential synchronization of nonidentical MNNs.
| Original language | English |
|---|---|
| Article number | 8701564 |
| Pages (from-to) | 1966-1980 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Systems, Man, and Cybernetics: Systems |
| Volume | 51 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2021 |
Keywords
- Error bound
- exponential synchronization
- memristor-based neural networks (MNNs)
- nonidentical characteristics
- pinning control
- stable region
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