Lagrange Stability of Memristive Neural Networks With Discrete and Distributed Delays
Authors:
- 16 September 2013
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Neural Networks and Learning Systems
- Vol. 25 (4) , 690-703
Abstract
Memristive neuromorphic system is a good candidate for creating artificial brain. In this paper, a general class of memristive neural networks with discrete and distributed delays is introduced and studied. Some Lagrange stability criteria dependent on the network parameters are derived via nonsmooth analysis and control theory. In particular, several succinct criteria are provided to ascertain the Lagrange stability of memristive neural networks with and without delays. The proposed Lagrange stability criteria are the improvement and extension of the existing results in the literature. Three numerical examples are given to show the superiority of theoretical results.Keywords
Funding Information
- Natural Science Foundation of China (61304057, 61125303)
- 973 Program of China (2011CB710606)
- School of Automation, Huazhong University of Science and Technology, Wuhan, China
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