Performance Study of an Adaptive Controller in the Presence of Uncertainty

Author

Loire, S. ; Fonoberov, V.A. ; Mezic, Igor

Author_Institution

Dept. of Mech. Eng., Univ. of California, Santa Barbara, Santa Barbara, CA, USA

Volume

21

Issue

3

fYear

2013

fDate

May-13

Firstpage

1039

Lastpage

1043

Abstract

This letter addresses the performance study of an adaptive controller in the presence of gain and delay uncertainties. The nonlinearities in the controller presented here do not allow an analytical study of the effect of uncertainties on performance. A numerical study is done instead using the sampling, learning, prediction, and optimization capabilities of the software Global Optimization, Sensitivity and Uncertainty in Models (GoSUM).

Keywords

adaptive control; control nonlinearities; control system analysis computing; optimisation; uncertain systems; GoSUM; adaptive controller; controller nonlinearities; delay uncertainties; gain uncertainties; global optimization sensitivity and uncertainty in models; learning capabilities; optimization capabilities; prediction capabilities; sampling capabilities; Adaptation models; Control systems; Delay effects; Predictive models; Robustness; Stability analysis; Uncertainty; Delay systems; nonlinear control systems; robustness; stability.;

fLanguage

English

Journal_Title

Control Systems Technology, IEEE Transactions on

Publisher

ieee

ISSN

1063-6536

Type

jour

DOI

10.1109/TCST.2012.2193029

Filename

6189775