Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 534, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.physa.2019.122248
Keywords
Memristive neural networks; Discrete delay; Fixed-time projective synchronization
Categories
Funding
- National Key R&D Program of China [2017YFB0803001]
- National Natural Science Foundation of China [61573067, 61771071, 11771196]
Ask authors/readers for more resources
In this paper, the fixed-time projective synchronization of memristive neural networks (MNNs) with discrete delay is studied for the first time. In the circuit implementation of memristive neural network, the synapses are modeled by memristors. Compared with common neural networks, memristive neural network can simulate the human brain better. The fixed-time controller designed in this paper is simplest among all the controllers that are used to study fixed-time stability/synchronization. Since fixed time stability, fixed-time synchronization and fixed-time anti-synchronization are all special cases of fixed-time projective synchronization, some existing results about the stability/synchronization of MNNs can be regarded as the corollaries of our theoretical results. Numerical simulations are provided to verify the theoretical results. (C) 2019 Published by Elsevier B.V.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available