Journal
INFORMATION SCIENCES
Volume 280, Issue -, Pages 135-151Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2014.04.041
Keywords
Memristor network; Bio-inspired neural network; Lagrange stability; Neuromorphic computing
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Funding
- Natural Science Foundation of China [61304057, 61125303]
- China Postdoctoral Science Foundation [2014M550495]
- Shaanxi Province of China
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In this paper, a general class of neural networks with memristive synapses and multiple delays is introduced and studied. Within mathematical framework of the Filippov solution, some analytical results on the Lagrange stability are established. The derived results can characterize the fundamental electrical properties of memristor devices and provide certain theoretical guidelines for applications. Crown copyright (C) 2014 Published by Elsevier Inc. All rights reserved.
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