Title :
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
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;
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
DOI :
10.1109/CCA.2009.5280708
