期刊
NEURAL NETWORKS
卷 109, 期 -, 页码 81-89出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2018.10.011
关键词
Inertial; Memristor; Neural networks; Feedback controllers; Fixed-time synchronization
资金
- National Science and Technology Major Project of China [2017YFB0803001]
- National Natural Science Foundation of China [61573067, 61771071, 61472045]
- Shandong Provincial Key Research and Development Program of China [2017CXGC0701]
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. (c) 2018 Elsevier Ltd. All rights reserved.
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