Title | ||
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A new switching control for finite-time synchronization of memristor-based recurrent neural networks. |
Abstract | ||
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In this paper, finite-time synchronization (FTS) of memristor-based recurrent neural networks (MNNs) with time-varying delays is investigated by designing a new switching controller. First, by using the differential inclusions theory and set-valued maps, sufficient conditions to ensure FTS of MNNs are obtained under the two cases of 0<α<1 and α=0, and it is derived that α=0 is the critical value of 0<α<1. Next, it is discussed deeply on the relation between the parameter α and the synchronization time. Then, a new controller with a switching parameter α is designed which can shorten the synchronization time. Finally, some numerical simulation examples are provided to illustrate the effectiveness of the proposed results. |
Year | DOI | Venue |
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2017 | 10.1016/j.neunet.2016.10.008 | Neural Networks |
Keywords | Field | DocType |
Finite-time synchronization,Memristor-based neural networks,Switching control | Differential inclusion,Control theory,Synchronization,Memristor,Search engine,Computer simulation,Computer science,Recurrent neural network,Artificial intelligence,Imagination,Machine learning | Journal |
Volume | Issue | ISSN |
86 | 1 | 0893-6080 |
Citations | PageRank | References |
16 | 0.55 | 23 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jie Gao | 1 | 2174 | 155.61 |
Peiyong Zhu | 2 | 59 | 8.68 |
A. Alsaedi | 3 | 749 | 63.55 |
Fuad E. Alsaadi | 4 | 429 | 17.38 |
Tasawar Hayat | 5 | 999 | 71.98 |