Title :
Delay-dependent stability criterion of delayed recurrent neural networks via LMI approach
Author :
Bi, Weiping ; Zhao, Yonghua ; Mu, Xuegang ; Zhang, Junfeng
Author_Institution :
Coll. of Math. & Inf. Sci., Henan Normal Univ., Xinxiang, China
Abstract :
In this paper, we consider the problem of the stability for a delayed recurrent neural networks. The delay-dependent criterion is presented in terms of linear matrix inequality ( LMI ). Numerical examples are given to show that our result is less conservative than the existing result.
Keywords :
delays; linear matrix inequalities; neurocontrollers; recurrent neural nets; stability criteria; time-varying systems; LMI approach; delay-dependent stability criterion; delayed recurrent neural network; linear matrix inequality; time-varying delay; Bismuth; Delay effects; Educational institutions; Information science; Mathematics; Neural networks; Neurons; Recurrent neural networks; Stability criteria; Symmetric matrices; Delay-dependent; LMI; Recurrent neural networks;
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
DOI :
10.1109/CCDC.2009.5191869
