Loading...
Loading...

Go to the content (press return)

Nonlinear set-membership identification using a Bayesian approach

Author
Rosa M. Fernandez-Canti; Tornil-Sin, S.; Blesa, J.; Puig, V.
Type of activity
Presentation of work at congresses
Name of edition
2014 IEEE International Conference on Control Applications
Date of publication
2014
Presentation's date
2014-10-08
Book of congress proceedings
IEEE Multi-Conference on Systems and Control (MSC 2014), 8-10 octubre, Antibes (France)
First page
116
Last page
121
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/CCA.2014.6981338 Open in new window
Project funding
Doctorat Industrial 2013-DI-041
SHERECS (DPI2011-26243)
Repository
http://hdl.handle.net/2117/84223 Open in new window
URL
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6981338 Open in new window
Abstract
This paper deals with the problem of setmembership identification of nonlinear-in-the-parameters models. To solve this problem a Bayesian approach is presented. The paper illustrates how the Bayesian approach can be used to approximate the feasible parameter set (FPS) by assuming uniform distributed estimation error and flat model prior probability distributions. The methodology leads to an approximation of the FPS consisting of a set of boxes, where two regions can be identified. The inner regi...
Citation
Fernández-Cantí, R. M., Tornil-Sin, S., Blesa, J., Puig, V. Nonlinear set-membership identification using a Bayesian approach. A: IEEE International Conference on Control Applications. "IEEE Multi-Conference on Systems and Control (MSC 2014), 8-10 octubre, Antibes (France)". Antibes: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 116-121.
Keywords
Approximation theory, Bayes methods, Parameter estimation, Set theory, Statistical distributions
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants