期刊
NEUROCOMPUTING
卷 219, 期 -, 页码 163-173出版社
ELSEVIER
DOI: 10.1016/j.neucom.2016.09.029
关键词
Memristor-based neural networks; Leakage delays; Time-varying delays; Periodic solution; Global exponential stability
资金
- Natural Science Foundation of China [61125303]
- National Basic Research Program of China (973 Program) [2011CB710606]
- Program for Science and Technology in Wuhan of China [2014010101010004]
- Program for Changjiang Scholars and Innovative Research Team in University of China [IRT1245]
In this paper, the periodic dynamics have been studied for a general kind of memristor-based neural networks with leakage and time-varying delays. Some new sufficient conditions have been derived ensuring that the existence, uniqueness and globally exponential stability of the periodic solution for the neural network by using differential inclusions theory, the topological degree theory in set-valued analysis and Lyapunov function technique and so on. As a special case, we have shown that the existence, uniqueness and global exponential stability of equilibrium point for the autonomous neural networks with leakage delays. (C) 2016 Elsevier B.V. All rights reserved.
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