Robust multi-parametric control of continuous-time linear dynamic systems
File(s)
Accepted version
Author(s)
Sun, Muxin
Villanueva, Mario E
Pistikopoulos, Efstratios N
Chachuat, Benoit
Type
Journal Article
Abstract
We extend a recent methodology called multi-parametric NCO-tracking for the design of parametric controllers for continuous-time linear dynamic systems in the presence of uncertainty The approach involves backing-off the path and terminal state constraints based on a worst-case uncertainty propagation determined using either interval analysis or ellipsoidal calculus. We address the case of additive uncertainty and we discuss approaches to handling multiplicative uncertainty that retain tractability of the mp-NCO-tracking design problem, subject to extra conservatism. These developments are illustrated with the case study of a fluidized catalytic cracking (FCC) unit operated in partial combustion mode.
Date Issued
2017-07-01
Date Acceptance
2017-07-01
Citation
IFAC-PapersOnLine, 2017, 50 (1), pp.4660-4665
ISSN
2405-8963
Publisher
IFAC Secretariat
Start Page
4660
End Page
4665
Journal / Book Title
IFAC-PapersOnLine
Volume
50
Issue
1
Copyright Statement
© 2016, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000423964800270&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Robust model predictive control
Constrained linear-quadratic regulation
Multi-parametric programming
Multi-parametric NCO-tracking
MODEL-PREDICTIVE CONTROL
OPTIMIZATION
UNCERTAINTY
DESIGN
Publication Status
Published
Coverage Spatial
Toulouse, FRANCE
Date Publish Online
2017-10-18