DocumentCode
486683
Title
An Explicit Generalised Minimum Variance Self-Tuner
Author
Jones, Richard W.
Author_Institution
INDUSTRIAL CONTROL UNIT, UNIVERSITY OF STRATHCLYDE
fYear
1986
fDate
18-20 June 1986
Firstpage
1095
Lastpage
1096
Abstract
The Generalised Minimum Variance (GMV) controller developed by Clarke and Gawthrop (1975, 1979) is one of the more popular self-tuning methods. This is in part due to its general control objective which allows generalised minimum variance, detuned model-reference and optimal Smith predictive control as possible interpretations which can be used according to the practical problem. This short paper examines an advantage to be gained by considering the normally implicit self-tuner from an explicit point of view, namely auto-tuning of the control weighting filter. This will be accomplished by applying Jurys (1964) stability criteria for discrete systems.
Keywords
Automatic control; Autoregressive processes; Filters; Industrial control; Optimal control; Polynomials; Predictive control; Predictive models; Tuning; Weight control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1986
Conference_Location
Seattle, WA, USA
Type
conf
Filename
4789098
Link To Document