On global exponential stability of positive neural networks with time-varying delay.

Hien, Le Van · Neural Netw · 2017

basic_science · Level V

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Abstract

This paper presents a new result on the existence, uniqueness and global exponential stability of a positive equilibrium of positive neural networks in the presence of bounded time-varying delay. Based on some novel comparison techniques, a testable condition is derived to ensure that all the state trajectories of the system converge exponentially to a unique positive equilibrium. The effectiveness of the obtained results is illustrated by a numerical example.

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