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
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;
Conference_Titel :
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1820-6
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2008.4633900
