Title :
Neural Networks Based ANARX Structure for Identification and Model Based Control
Author :
Petlenkov, Eduard ; Nomm, Sven ; Kotta, Ulle
Author_Institution :
Dept. of Comput. Control, Tallinn Univ. of Technol.
Abstract :
This article is devoted to the training and application of neural networks based additive nonlinear autoregressive exogenous (NN-based ANARX) model. Training of NN-based ANARX model with MATLAB is discussed in detail and illustrated by examples. Dynamic state feedback linearization control algorithm is then applied for control of unknown nonlinear system
Keywords :
autoregressive processes; identification; linearisation techniques; neurocontrollers; nonlinear control systems; state feedback; ANARX structure; MATLAB; additive nonlinear autoregressive exogenous model; dynamic state feedback linearization control; identification; model based control; neural networks; nonlinear control system; output feedback linearization; Control design; Control system analysis; Control systems; Linear feedback control systems; MATLAB; Mathematical model; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Output feedback; ANARX model; identification; neural networks; nonlinear control system; output feedback linearization;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345417
