DocumentCode
695873
Title
Reduced parameterisation MPC for input-constrained unstable linear systems Part 1: Implementation
Author
Medioli, Adrian ; Seron, Maria ; Middleton, Richard
Author_Institution
ARC Centre for Complex Dynamic Syst. & Control, Univ. of Newcastle, Newcastle, NSW, Australia
fYear
2009
fDate
23-26 Aug. 2009
Firstpage
713
Lastpage
718
Abstract
This paper introduces a new variant of model predictive control called Reduced Parameterisation Model Predictive Control. The new algorithm uses the structure of the null controllable set of input constrained unstable systems to produce a closed-loop system with a region of attraction that is an arbitrarily close approximation to this set. In addition, this result is achieved with a lower complexity than that of MPC.
Keywords
closed loop systems; linear systems; predictive control; set theory; closed-loop system; input-constrained unstable linear system; null controllable set; reduced parameterisation MPC; reduced parameterisation model predictive control; region-of-attraction; Decision support systems; Europe; Gold; Linear systems; Noise measurement; Three-dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 2009 European
Conference_Location
Budapest
Print_ISBN
978-3-9524173-9-3
Type
conf
Filename
7074487
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