On-line Updating of Dynamic State-Space Model for Bayesian Filtering through Markov chain Monte Carlo Techniques
A large number of methodologies dedicated to the continuous monitoring of systems have been developed during the last years. Among these, the model-based Bayesian Filtering methods (e.g. Particle Filters, PF) are able to combine the information provided by a monitoring system with the mathematical m...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2013-07-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/6230 |