NN-ANARX structure based dynamic output feedback linearization for control of nonlinear MIMO systems

Author

Petlenkov, E.

Author_Institution

Tallinn Univ. of Technol., Tallinn

fYear

2007

fDate

27-29 June 2007

Firstpage

1

Lastpage

6

Abstract

An application of Neural Networks based Additive Nonlinear Autoregressive Exogenous (NN-ANARX) structure for modeling and control of nonlinear MIMO systems is presented in the paper. A subclass of NN-ANARX structure is proposed to simplify the calculation of controls by ANARX-based control technique. The problem of the inverse function calculation in the control algorithm is solved. After that the ANARX-based dynamic output feedback linearization control algorithm is applied for control of nonlinear MIMO systems. The effectiveness of the approach proposed in the paper is demonstrated on examples.

Keywords

MIMO systems; autoregressive processes; feedback; inverse problems; linearisation techniques; neurocontrollers; nonlinear control systems; additive nonlinear autoregressive exogenous structure; control algorithm; dynamic output feedback linearization; inverse function; neural networks; nonlinear MIMO system control; Control design; Control system analysis; Control system synthesis; Control systems; Linear feedback control systems; MIMO; Neural networks; Neurons; Nonlinear control systems; Output feedback; ANARX model; dynamic output feedback linearization; neural networks; nonlinear MIMO systems; nonlinear control systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Control & Automation, 2007. MED '07. Mediterranean Conference on

Conference_Location

Athens

Print_ISBN

978-1-4244-1282-2

Electronic_ISBN

978-1-4244-1282-2

Type

conf

DOI

10.1109/MED.2007.4433965

Filename

4433965