On robustified adaptive minimum-variance controller
作者:
VOJISLAV Ž FILIPOVIĆ,
BRANKO D. KOVAČEVIĆ,
期刊:
International Journal of Control
(Taylor Available online 1996)
卷期:
Volume 65,
issue 1
页码: 117-129
ISSN:0020-7179
年代: 1996
DOI:10.1080/00207179608921689
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
An adaptive regulator of the minimum-variance type in the presence of disturbance uncertainly is considered in the paper. Supposing a linear ARMAX model of the single input-single output system, a robustified direct adaptive control algorithm is derived using the robust statistical approach named M-estimation. The derived algorithm differs from the conventional linear algorithms by the insertion of a suitably chosen nonlinear transformation of the prediction error, which has to cut off the large noise realizations named outliers. The global stability of the proposed control system and self-optimizing property of the adaptive regulator is established theoretically using the martingale theory. The feasibility of the approach is demonstrated with simulation.
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