Title :
Global robust stability of delayed neural networks: an LMI approach
Author_Institution :
Dept. of Electr.-Electron. Eng., Atilim Univ., Ankara, Turkey
Abstract :
New criteria for the uniqueness and global robust stability of the equilibrium point of the interval Hopfield-type delayed neural networks are presented. The criteria possess the structure of linear matrix inequality and, hence, are computationally efficient.
Keywords :
Hopfield neural nets; circuit stability; linear matrix inequalities; Hopfield-type delayed neural networks; LMI approach; dynamical interval neural networks; equilibrium analysis; global robust stability; linear matrix inequality; Asymptotic stability; Delay; Hopfield neural networks; Linear matrix inequalities; Neural networks; Neurons; Robust stability; Robustness; Symmetric matrices; Uncertainty; Dynamical interval neural networks; equilibrium analysis; global robust stability;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2004.840118
