Title
Improved results on passivity analysis of uncertain neural networks with time-varying discrete and distributed delays
Abstract
In this paper, the passivity analysis problem is investigated for uncertain neural networks with time-varying discrete and distributed delays. Based on direct delay decomposition idea and free-weighting matrix approach, several new delay-dependent passive criterions are derived in terms of linear matrix inequalities (LMIs), which can he easily checked by the Matlab LMI toolbox. Numerical examples show that the obtained results improve some existing ones.
Year
DOI
Venue
2009
10.1007/s11063-009-9116-2
Neural Processing Letters
Keywords
Field
DocType
Passivity analysis,Uncertain neural networks,Time-varying discrete and distributed delays,Linear matrix inequalities (LMIs)
Passivity,Computer science,Control theory,Retard,Discrete time and continuous time,Artificial neural network,Linear matrix inequality
Journal
Volume
Issue
ISSN
30
2
1370-4621
Citations 
PageRank 
References 
24
1.25
19
Authors
3
Name
Order
Citations
PageRank
Yonggang Chen126720.44
Wenlin Li21046.69
Weiping Bi3573.56