DocumentCode
3425066
Title
Robust stability of Fuzzy Elman Neural Network
Author
Araghi, Leila Fallah ; Hosseini, Hamed Shah
Author_Institution
Electr. Eng. Dept., Islamic Azad Univ., Tehran, Iran
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
13
Lastpage
18
Abstract
This paper proposed three methods for existence of a common quadratic Lyapunov function for robust stability analysis of fuzzy Elman neural network.
Keywords
Lyapunov methods; closed loop systems; control system analysis; fuzzy control; fuzzy neural nets; neurocontrollers; robust control; state feedback; time-varying systems; closed loop switching system; fuzzy Elman neural network; quadratic Lyapunov function; robust stability analysis; state feedback control; Asymptotic stability; Difference equations; Fuzzy neural networks; Linear systems; Lyapunov method; Neural networks; Recurrent neural networks; Robust stability; Stability analysis; Switching systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255173
Filename
5255173
Link To Document