DocumentCode
700840
Title
Propositional logic in control and monitoring problems
Author
Tyler, Matthew L. ; Morari, Manfred
Author_Institution
Inst. fur Automatik, ETH - Z/ETL, Zürich, Switzerland
fYear
1997
fDate
1-7 July 1997
Firstpage
2436
Lastpage
2441
Abstract
By using linear constraints on integer variables, logical inference can be incorporated within Model Predictive Control and model based detection problems resulting in mixed integer quadratic or mixed integer linear programming problems. Qualitative knowledge can be used to prioritize control objectives, or to improve performance of detection schemes. This article demonstrates some capabilities of combining logic using integer variables with quantitative models. An extended version is available from: ftp://ftp.ant.ee.ethz.ch/pnb/reports/postscript/ AUT96-15.ps.
Keywords
formal logic; integer programming; linear programming; predictive control; quadratic programming; integer variable; linear constraint; logical inference; mixed integer linear programming; mixed integer quadratic programming; model based detection problem; model predictive control; propositional logic; Linear programming; Mathematical model; Monitoring; Optimization; Predictive control; Upper bound; Fault detection; Predictive control; Process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 1997 European
Conference_Location
Brussels
Print_ISBN
978-3-9524269-0-6
Type
conf
Filename
7082471
Link To Document