Title :
Robust Exponential Stability of Recurrent Neural Networks With Multiple Time-Varying Delays
Author :
Zhang, Huaguang ; Wang, Zhanshan ; Liu, Derong
Author_Institution :
Northeastern Univ., Liaoning
Abstract :
New criteria for the uniqueness and global robust exponential stability are established for the equilibrium point of interval recurrent neural networks with multiple time-varying delays via a decomposition method and analysis technique. Results are presented in the form of linear matrix inequality, which can be solved efficiently. Two numerical examples are employed to show the effectiveness of the present results.
Keywords :
delay systems; linear matrix inequalities; neural nets; recurrent neural nets; time-varying systems; decomposition method; linear matrix inequality; multiple time-varying delays; recurrent neural networks; robust exponential stability; Control systems; Delay; Eigenvalues and eigenfunctions; Linear matrix inequalities; Neural networks; Recurrent neural networks; Robust stability; Stability analysis; Stability criteria; Symmetric matrices; Multiple time-varying delays; recurrent neural networks; robust exponential stability;
Journal_Title :
Circuits and Systems II: Express Briefs, IEEE Transactions on
DOI :
10.1109/TCSII.2007.896799
