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
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;
Conference_Titel :
Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location :
Dearborn, MI
Print_ISBN :
0-7803-2978-3
DOI :
10.1109/ISIC.1996.556216
