Paper Info
Title
Applications Of Possibilistic Reasoning To Intelligent System Monitoring: A Case Study
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.
Year
DOI
Venue
2009
10.1109/CCA.2009.5280708
2009 IEEE CONTROL APPLICATIONS CCA & INTELLIGENT CONTROL (ISIC), VOLS 1-3
Keywords
Field
DocType
system model,cognition,optimization,logic,system monitoring,algebra,mathematical model,constraint optimization,intelligent control,intelligent systems,possibility theory,measurement uncertainty,indexes,slack variable,quadratic programming,system modeling,quadratic program,uncertainty,algebraic equation,linear programming,encoding,bioengineering
Slack variable,Mathematical optimization,Computer science,Measurement uncertainty,System monitoring,Algebraic equation,Possibility theory,Linear programming,Quadratic programming,System model
Conference
ISSN
Citations 
PageRank 
1085-1992
0
0.34
References 
Authors
9
3
Name
Order
Citations
PageRank
Francisco Llaneras1463.12
A. Sala256233.44
J. Picó38710.61