Title :
Propositional logic in control and monitoring problems
Author :
Tyler, Matthew L. ; Morari, Manfred
Author_Institution :
Inst. fur Automatik, ETH - Z/ETL, Zürich, Switzerland
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;
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6