On global exponential stability of positive neural networks with time-varying delay.
Journal:
Neural networks : the official journal of the International Neural Network Society
Published Date:
Dec 1, 2016
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.
