DocumentCode
2955772
Title
Exponential stability of periodic solution of impulsive fuzzy BAM neural networks with time-varying delays
Author
Huang, Tingwen ; Huang, Hui
Author_Institution
Texas A&M Univ. at Qatar, Doha
fYear
2008
fDate
1-8 June 2008
Firstpage
869
Lastpage
873
Abstract
In this paper, we study impulsive fuzzy BAM neural networks. Criteria are obtained for exponential stability of globally exponential stability of periodic solution of time-varying delayed fuzzy neural networks with impulses.The criteria obtained in this paper is easily verifiable. It is believed that it is useful in design neural networks in practices.
Keywords
asymptotic stability; delays; fuzzy neural nets; neurocontrollers; periodic control; time-varying systems; exponential stability; globally exponential stability; impulsive fuzzy BAM neural networks; time-varying delayed fuzzy neural networks; time-varying delays; Cellular neural networks; Design optimization; Feedforward systems; Fuzzy neural networks; Image processing; Magnesium compounds; Neural networks; Neurons; Pattern recognition; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location
Hong Kong
ISSN
1098-7576
Print_ISBN
978-1-4244-1820-6
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2008.4633900
Filename
4633900
Link To Document