On risk-coherent input design and Bayesian methods for nonlinear system identification
System identification deals with the estimation of mathematical models from experimental data. As mathematical models are built for specific purposes, ensuring that the estimated model represents the system with sufficient accuracy is a relevant aspect in system identification. Factors affecting the...
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| Format: | Doctoral Thesis |
| Language: | English |
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KTH, Reglerteknik
2016
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-198522 http://nbn-resolving.de/urn:isbn:978-91-7729-229-6 |