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.

fYear

2006

fDate

5-8 Dec. 2006

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICARCV.2006.345417

Filename

4150221