dc.creator | Tupaz Pantoja, Jhovany Alexander | |
dc.creator | Asteasuain, Mariano | |
dc.creator | Sanchez, Mabel Cristina | |
dc.date.accessioned | 2018-04-23T15:21:32Z | |
dc.date.accessioned | 2018-11-06T14:38:58Z | |
dc.date.available | 2018-04-23T15:21:32Z | |
dc.date.available | 2018-11-06T14:38:58Z | |
dc.date.created | 2018-04-23T15:21:32Z | |
dc.date.issued | 2017-10 | |
dc.identifier | Tupaz Pantoja, Jhovany Alexander; Asteasuain, Mariano; Sanchez, Mabel Cristina; Unscented Kalman Filter. Application of the robust approach to polymerization processes; Elsevier; Computer Aided Chemical Engineering; 40; 10-2017; 1477-1482 | |
dc.identifier | 1570-7946 | |
dc.identifier | http://hdl.handle.net/11336/42999 | |
dc.identifier | CONICET Digital | |
dc.identifier | CONICET | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1888597 | |
dc.description.abstract | The control of polymerization processes has central importance because operational conditions affect the processing and end-use properties of the product. The nonlinear controllers based upon rigorous models make use of the on-line state estimates obtained from the available measurements. For polymerization processes, the Unscented Kalman Filter has shown a rewarding performance for state estimation. Because the presence of outliers distorts the behaviour of the filter, Robust Statistics-based approaches have been proposed to reduce their detrimental effect on variable estimates. Until now, only Huber type M-estimators have been used as loss function of the estimation problem. In this work, the ability of other types of M-estimators to improve estimate robustness without introducing numerical problems is analysed. The performances of the M-estimators are compared for a copolymerization process within the framework of a filtering technique based on the Unscented Transformation, which uses a reformulation of the covariance of measurements errors. | |
dc.language | eng | |
dc.publisher | Elsevier | |
dc.relation | info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/B978-0-444-63965-3.50248-8 | |
dc.relation | info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/B9780444639653502488 | |
dc.rights | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | COPOLYMERIZATION | |
dc.subject | M-ESTIMATORS | |
dc.subject | OUTLIERS | |
dc.subject | ROBUST FILTERING | |
dc.subject | UNSCENTED KALMAN FILTER | |
dc.title | Unscented Kalman Filter. Application of the robust approach to polymerization processes | |
dc.type | Artículos de revistas | |
dc.type | Artículos de revistas | |
dc.type | Artículos de revistas | |