Title :
Robust global exponential stability of Cohen-Grossberg neural networks with time delays
Author :
Chen, Tianping ; Rong, Libin
Author_Institution :
Inst. of Math., Fudan Univ., Shanghai, China
Abstract :
The authors discuss delayed Cohen-Grossberg neural network models and investigate their global exponential stability of the equilibrium point for the systems. A set of sufficient conditions ensuring robust global exponential convergence of the Cohen-Grossberg neural networks with time delays are given.
Keywords :
asymptotic stability; delays; neural nets; Cohen-Grossberg neural networks; M-matrix; equilibrium point; global exponential convergence; global exponential stability; robust global exponential convergence; robust global exponential stability; sufficient conditions; time delays; Convergence; Delay effects; Delay systems; Hopfield neural networks; Image converters; Neural networks; Neurons; Robust stability; Robustness; Sufficient conditions; Neural Networks (Computer); Time Factors;
Journal_Title :
Neural Networks, IEEE Transactions on
DOI :
10.1109/TNN.2003.822974
