DocumentCode
3395408
Title
Correlation-enhanced adaptive Internal Model Control
Author
Nilsson, Martin ; Jörntell, Henrik
Author_Institution
Swedish Inst. of Comput. Sci. (SICS), Kista, Sweden
Volume
2
fYear
2010
fDate
30-31 May 2010
Firstpage
638
Lastpage
641
Abstract
Internal Model Control is a popular industrial control method, which can be made adaptive through the introduction of adaptive filters. In this paper, we describe a method for augmenting such control structures in order to control plants with unspecified sensors, and subject to unspecific, time-varying noise. Our technique is based on adding correlators to adaptive filters. This technique is also applicable to MIMO systems. Potential applications include control systems equipped with distributed sensors and systems subject to time-varying wide-band noise. Computations are simple and suitable for parallel execution.
Keywords
Adaptive control; Adaptive filters; Control systems; Correlators; Industrial control; MIMO; Programmable control; Sensor phenomena and characterization; Sensor systems and applications; Time varying systems; Correlation; adaptive control; adaptive filter; internal model;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
Conference_Location
Wuhan, China
Print_ISBN
978-1-4244-7653-4
Type
conf
DOI
10.1109/ICINDMA.2010.5538225
Filename
5538225
Link To Document