Explicit MPC: hard constraint satisfaction under low precision arithmetic
File(s)AndreaCEP15.pdf (2.58 MB)
Accepted version
Author(s)
Suardi, A
Longo, S
Kerrigan, EC
Constantinides, GA
Type
Journal Article
Abstract
MPC is becoming increasingly implemented on embedded systems, where low precision computation is preferred either to reduce costs, speedup execution or reduce power consumption. However, in a low precision implementation, constraint satisfaction cannot be guaranteed. To enforce constraint satisfaction under numerical errors, we adopt tools from forward error analysis to compute an error bound on the output of the embedded controller. We treat this error as a state disturbance and use it to inform the design of a constraint-tightening robust controller. The technique is validated via a practical implementation on an FPGA evaluation board.
Date Issued
2015-12-29
Date Acceptance
2015-12-11
Citation
Control Engineering Practice, 2015, 47, pp.60-69
ISSN
1873-6939
Publisher
Elsevier
Start Page
60
End Page
69
Journal / Book Title
Control Engineering Practice
Volume
47
Copyright Statement
© 2015 Elsevier Ltd. All rights reserved. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Engineering & Physical Science Research Council (E
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000370091900006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/K503733/1
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Embedded systems
Predictive control
Robust control
MODEL-PREDICTIVE CONTROL
SYSTEMS
Industrial Engineering & Automation
0102 Applied Mathematics
0906 Electrical And Electronic Engineering
0913 Mechanical Engineering
Publication Status
Published