Highly Influenced

@article{Mahmoud2012GlobalSR, title={Global stability results of discrete recurrent neural networks with interval delays}, author={Magdi S. Mahmoud and Fouad M. Al-Sunni}, journal={IMA J. Math. Control & Information}, year={2012}, volume={29}, pages={199-213} }

- Published 2012 in IMA J. Math. Control & Information
DOI:10.1093/imamci/dnr034

This paper establishes improved global exponential stability method for a class of discrete-time recurrent neural networks with interval time-varying delays and norm-bounded time-varying parameter uncertainties. The method is robust and delay range dependent. It is derived based on a new Lyapunov–Krasovskii functional constructed to exhibit the delay-dependent dynamics and to compensate for the enlarged time span. The developed stability method eliminates the need for over bounding and utilizes… CONTINUE READING

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