DocumentCode
3167948
Title
A survey of Fractional-Order Generalized Predictive Control
Author
Romero, Marcelo ; de Madrid, A.P. ; Manoso, C. ; Vinagre, Blas M.
Author_Institution
Dept. of Commun. & Control Syst, UNED, Madrid, Spain
fYear
2012
fDate
10-13 Dec. 2012
Firstpage
6867
Lastpage
6872
Abstract
This work describes the fractional generalization of GPC, known as Fractional-Order Generalized Predictive Control (FGPC). Based on a real-order fractional cost function, FGPC combines valuable characteristics of fractional calculus and predictive control. The mathematical fundamentals of FGPC as well as a possible tuning algorithm are reviewed. We also present application examples where FGPC has proved to be a versatile and valuable control strategy to control real plants.
Keywords
predictive control; FGPC; fractional calculus; fractional generalization; fractional order generalized predictive control; real order fractional cost function; tuning algorithm; valuable control strategy; Control systems; Cost function; Mathematical model; Predictive control; Predictive models; Sensitivity; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location
Maui, HI
ISSN
0743-1546
Print_ISBN
978-1-4673-2065-8
Electronic_ISBN
0743-1546
Type
conf
DOI
10.1109/CDC.2012.6426244
Filename
6426244
Link To Document