Loading...
Loading...

Go to the content (press return)

Non-linear set-membership identification approach based on the Bayesian framework

Author
Rosa M. Fernandez-Canti; Tornil-Sin, S.; Blesa, J.; Puig, V.
Type of activity
Journal article
Journal
IET control theory and applications
Date of publication
2015-06-06
Volume
9
Number
9
First page
1392
Last page
1398
DOI
https://doi.org/10.1049/iet-cta.2013.1124 Open in new window
Project funding
Operación Eficiente de Infraestructuras Críticas (ECOCIS)
Repository
http://hdl.handle.net/2117/83901 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7112864 Open in new window
Abstract
This study deals with the problem of set-membership identification of non-linear-in-the-parameters models. To solve this problem, this study illustrates how the Bayesian approach can be used to determine the feasible parameter set (FPS) by assuming uniform distributed estimation error and flat model prior probability distributions. The key point of the methodology is the interval evaluation of the likelihood function and the result is a set of boxes with associated credibility indices. For each ...
Citation
Fernández-Cantí, R. M., Tornil-Sin, S., Blesa, J., Puig, V. Non-linear set-membership identification approach based on the Bayesian framework. "IET control theory and applications", 06 Juny 2015, vol. 9, núm. 9, p. 1392-1398.
Keywords
Approximation, Bayesian approaches, Bounded-error, Interval-analysis, Nonlinear programming, Observer, Optimisation, Parameter estimation, Set-membership identification, State estimation, Time-systems
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants