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