Journal
NEUROCOMPUTING
Volume 235, Issue -, Pages 83-89Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2016.12.061
Keywords
Memristor; Neural networks; Finite time synchronization; Mixed delays
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Funding
- National Natural Science Foundation of China [61573067, 61472045]
- Beijing City Board of Education Science and Technology Key Project [KZ201510015015]
- Beijing City Board of Education Science and Technology Project [KM201510015009]
- National Key Research and Development Program [2016YFB0800602, 2016YFB0800604]
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This paper deals with the finite time synchronization problem of memristor-based neural networks (MNNs) with mixed delays. By utilizing feedback controllers and constructing suitable Lyapunov functionals, several new sufficient conditions guaranteeing the finite time synchronization of MNNs with mixed delays are obtained based on different finite time synchronization analysis techniques. The obtained sufficient conditions are simple and easy to verify. Numerical simulations are given to illustrate the effectiveness of the theoretical results.
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