Applications of possibilistic reasoning to intelligent system monitoring: a case study

Author

Llaneras, F. ; Sala, A. ; Picó, J.

Author_Institution

Inst. de Autom. AI2, Univ. Politec. de Valencia, Valencia, Spain

fYear

2009

Firstpage

171

Lastpage

176

Abstract

This paper discusses the use of a possibilistic framework for system monitoring tasks where a system model jointly with measurements is given as a set of algebraic equations. Uncertainty is handled via the introduction of slack variables and an optimization-based (linear or quadratic programming) approach is proposed to compute the possibility distributions of the internal variables to be monitored. A case study on a bio-engineering problem is presented.

Keywords

algebra; inference mechanisms; linear programming; possibility theory; quadratic programming; system monitoring; uncertainty handling; algebraic equation; bioengineering; intelligent system monitoring; linear programming; optimization; possibilistic reasoning; possibility distribution; quadratic programming; slack variable; system model; uncertainty handling; Constraint optimization; Control system synthesis; Encoding; Equations; Intelligent control; Intelligent systems; Logic; Monitoring; Possibility theory; Quadratic programming;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE

Conference_Location

St. Petersburg

Print_ISBN

978-1-4244-4601-8

Electronic_ISBN

978-1-4244-4602-5

Type

conf

DOI

10.1109/CCA.2009.5280708

Filename

5280708