Dynamic output feedback linearization based adaptive control of nonlinear MIMO systems

Author

Petlenkov, Eduard ; Belikov, Juri ; Nõmm, Sven ; Wyrwas, Malgorzata

Author_Institution

Dept. of Comput. Control, Tallinn Univ. of Technol., Tallinn

fYear

2008

fDate

11-13 June 2008

Firstpage

3446

Lastpage

3451

Abstract

This paper discusses application of dynamic output feedback linearization algorithm for adaptive control of nonlinear MIMO systems. Neural Network based Simplified Additive Nonlinear AutoRegressive exogenous (NN-SANARX) structure is used for identification of nonlinear MIMO systems. This structure imposes a restriction on model adaptation. The model is divided into adaptable and nonadaptable parts. After that history-stack adaptation with dynamic output feedback linearization is used for adaptive control of nonlinear MIMO systems. The effectiveness of the adaptive control technique proposed in the paper is demonstrated on numerical example.

Keywords

MIMO systems; adaptive control; autoregressive processes; feedback; linearisation techniques; neurocontrollers; nonlinear control systems; adaptive control; dynamic output feedback linearization; history-stack adaptation; neural network; nonlinear MIMO system; simplified additive nonlinear autoregressive exogenous structure; Adaptation model; Adaptive control; Control design; Control systems; Linear feedback control systems; MIMO; Mathematical model; Neural networks; Nonlinear control systems; Output feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2008

Conference_Location

Seattle, WA

ISSN

0743-1619

Print_ISBN

978-1-4244-2078-0

Electronic_ISBN

0743-1619

Type

conf

DOI

10.1109/ACC.2008.4587026

Filename

4587026