DocumentCode
1899676
Title
ANN-based feedback linearization for MIMO systems
Author
Fattah, Hossam A. Abdel ; Sakr, Fattah Ahmed F ; Bahgat, Ahmed
Author_Institution
Dept. of Electr. Power & Machines, Cairo Univ., Giza, Egypt
fYear
1996
fDate
15-18 Sep 1996
Firstpage
289
Lastpage
294
Abstract
This paper addresses the problem of feedback linearization of nonlinear systems. The existing linearization methods require complete knowledge of the system model. A new method for feedback linearization, avoiding this requirement which is rarely satisfied in practice, is proposed. The method is based on artificial neural networks (ANNs). Simulation results show satisfactory performance when the proposed ANN-based feedback linearization is included in a tracking control system
Keywords
MIMO systems; backpropagation; feedforward neural nets; linearisation techniques; neurocontrollers; nonlinear dynamical systems; robots; tracking; MIMO systems; backpropagation; feedback linearization; feedforward neural networks; nonlinear dynamical systems; robots; tracking control system; Artificial neural networks; Feedback; Jacobian matrices; MIMO; Neural networks; Neurofeedback; Nonlinear equations; State-space methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location
Dearborn, MI
ISSN
2158-9860
Print_ISBN
0-7803-2978-3
Type
conf
DOI
10.1109/ISIC.1996.556216
Filename
556216
Link To Document