Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6865923 | Neurocomputing | 2015 | 12 Pages |
Abstract
The finite-time stability analysis of discrete-time fuzzy Hopfield neural networks is studied in this paper. Firstly, the concept of finite-time stability is generalized to the fuzzy neural networks. And then by the Lyapunov approach and linear matrix inequality technique, a sufficient condition for the system to be finite-time stable is proposed, based on which, the finite-time stability condition for the system with norm bounded uncertainties is also given. Finally a numerical example is given to illustrate the effectiveness of the proposed approach.
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jianjun Bai, Renquan Lu, Anke Xue, Qingshan She, Zhonghua Shi,