Adaptive neural network tracking control for a class of MIMO nonlinear systems with measurement error

Author

Kostarigka, Artemis K. ; Rovithakis, George A.

Author_Institution

Aristotle Univ. of Thessaloniki, Thessaloniki

fYear

2007

fDate

27-29 June 2007

Firstpage

1

Lastpage

6

Abstract

An adaptive neural network tracking controller is designed, capable of stabilizing multi-input multi-output nonlinear, affine in the control dynamical systems with measurement error. Uniform ultimate boundedness of the tracking error of the actual system state is guaranteed, as well as boundedness of all other signals in the closed loop. Possible division by zero is avoided with the use of a novel resetting procedure, capable of guaranteeing the boundedness away from zero of certain signals.

Keywords

MIMO systems; adaptive control; measurement errors; neurocontrollers; nonlinear control systems; time-varying systems; MIMO nonlinear systems; adaptive neural network tracking control; control dynamical systems; measurement error; multiinput multioutput nonlinear systems; Adaptive control; Adaptive systems; Control systems; MIMO; Measurement errors; Neural networks; Nonlinear control systems; Nonlinear systems; Programmable control; Tracking loops;

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.2007.4433928

Filename

4433928