Adaptive Output Feedback Linearization for a Class of NN-based ANARX Models

Author

Petlenkov, Eduard ; Nömm, Sven ; Kotta, Ülle

Author_Institution

Tallinn Univ. of Technol., Tallinn

fYear

2007

fDate

May 30 2007-June 1 2007

Firstpage

3173

Lastpage

3178

Abstract

Present paper is devoted to the design of an adaptive output feedback controller for nonlinear system modelled by neural networks based Additive Nonlinear Autoregressive Exogenous structure. Off-line and on-line parameter identification of the neural networks based Additive Nonlinear Autoregressive Exogenous model using standard training algorithms are discussed in detail and illustrated by numerical simulations. The main contribution of this paper is in combining neural networks based adaptation with dynamic output feedback linearization technique.

Keywords

adaptive control; feedback; linearisation techniques; neurocontrollers; nonlinear control systems; adaptive output feedback linearization; additive nonlinear autoregressive exogenous structure; dynamic output feedback linearization technique; neural networks; nonlinear system; Adaptive control; Control system synthesis; Linearization techniques; Neural networks; Nonlinear control systems; Nonlinear systems; Numerical simulation; Output feedback; Parameter estimation; Programmable control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2007. ICCA 2007. IEEE International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4244-0818-4

Electronic_ISBN

978-1-4244-0818-4

Type

conf

DOI

10.1109/ICCA.2007.4376947

Filename

4376947