Abstract
In this paper, we respectively investigate the input strict passivity and output strict passivity of coupled reaction-diffusion neural networks with impulsive effects. By constructing suitable Lyapunov functional and utilizing some inequality techniques, several input strict passivity and output strict passivity conditions are derived for the coupled reaction-diffusion neural networks with impulsive effects. Finally, an example is given to illustrate the correctness and effectiveness of the proposed results.
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