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

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3 Author(s)
Llaneras, F. ; Inst. de Autom. AI2, Univ. Politec. de Valencia, Valencia, Spain ; Sala, A. ; Pico, J.

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.

Published in:

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

Date of Conference:

8-10 July 2009

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