Title :
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
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.;
Journal_Title :
Control Systems Technology, IEEE Transactions on
DOI :
10.1109/TCST.2012.2193029
