Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
411718 | Neurocomputing | 2015 | 10 Pages |
Abstract
In this paper, we respectively investigate the input strict passivity and output strict passivity of impulsive coupled reaction-diffusion neural networks with and without time-varying delay. By constructing suitable Lyapunov functionals and utilizing some inequality techniques, several input strict passivity and output strict passivity conditions are derived for the impulsive coupled reaction-diffusion neural networks with and without time-varying delay. Finally, two numerical examples are given to illustrate the correctness and effectiveness of the proposed results.
Keywords
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Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Pu-Chong Wei, Jin-Liang Wang, Yan-Li Huang, Bei-Bei Xu, Shun-Yan Ren,