Title :
A delay-dependent stability criterion for neural networks with interval time-varying delays
Author :
Wu, Haixia ; Zhang, Wei ; Feng, Wei ; Wang, Zhengxia
Author_Institution :
Coll. of Comput. Sci., Chongqing Univ., Chongqing
Abstract :
This paper presents a new result of stability analysis for neural networks with interval time-varying delays. A less conservative stability criterion is established by constructing a new Lyapunov-Krasovskii functional and introducing some free weighting matrices. Numerical examples show that the proposed criterion is effective and is an improvement over some existing results in the literature.
Keywords :
Lyapunov methods; delays; matrix algebra; neural nets; stability criteria; time-varying systems; Lyapunov-Krasovskii functional; delay-dependent stability criterion; free weighting matrices; interval time-varying delays; neural networks; Computer science; Computer science education; Delay effects; Educational institutions; Linear matrix inequalities; Neural networks; Neurons; Stability analysis; Stability criteria; Symmetric matrices; interval time varying delays; linear matrix inequality (LMI); neural networks; stability;
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
DOI :
10.1109/ICCIS.2008.4670806