Title | ||
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Fixed-time synchronization of inertial memristor-based neural networks with discrete delay. |
Abstract | ||
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This paper is concerned with the fixed-time synchronization control of inertial memristor-based neural networks with discrete delay. We design four different kinds of feedback controllers, under which the considered inertial memristor-based neural networks can realize fixed-time synchronization perfectly. Moreover, the obtained fixed-time synchronization criteria can be verified by algebraic operations. For any initial synchronization error, the settling time of fixed-time synchronization is bounded by a fixed constant, which can be calculated beforehand based on system parameters and controller parameters. Numerical simulations are given to illustrate the effectiveness of our theoretical results. |
Year | DOI | Venue |
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2019 | 10.1016/j.neunet.2018.10.011 | Neural Networks |
Keywords | Field | DocType |
Inertial,Memristor,Neural networks,Feedback controllers,Fixed-time synchronization | Inertial frame of reference,Control theory,Mathematical optimization,Synchronization,Memristor,Control theory,Settling time,Artificial neural network,Mathematics,Algebraic operation,Bounded function | Journal |
Volume | Issue | ISSN |
109 | 1 | 0893-6080 |
Citations | PageRank | References |
7 | 0.44 | 22 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chuan Chen | 1 | 55 | 7.63 |
Lixiang Li | 2 | 533 | 46.82 |
Haipeng Peng | 3 | 466 | 37.86 |
Yixian Yang | 4 | 1121 | 140.62 |