Performance Study of an Adaptive Controller in the Presence of Uncertainty

Autor:	Igor Mezic, Vladimir A. Fonoberov, Sophie Loire
Rok vydání:	2013
Předmět:	Engineering Adaptive control Software Control and Systems Engineering Control theory business.industry Sampling (statistics) Uncertain systems Control engineering Sensitivity (control systems) Electrical and Electronic Engineering business Global optimization
Zdroj:	IEEE Transactions on Control Systems Technology. 21:1039-1043
ISSN:	1558-0865 1063-6536
DOI:	10.1109/tcst.2012.2193029
Popis:	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).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e4dc2b896bd528ca05c5746e5345843d https://doi.org/10.1109/tcst.2012.2193029 Zobrazit plný text záznamu