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
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;
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
DOI :
10.1109/GRC.2009.5255173
