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AO4ELT 2019 - Proceedings 6th Adaptive Optics for Extremely Large Telescopes(1)
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Sensors(1)
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scopus(3)
On the uncertainty identification for linear dynamic systems using stochastic embedding approach with gaussian mixture models
ArticleAbstract: In control and monitoring of manufacturing processes, it is key to understand model uncertainty in oPalabras claves:Expectation-maximization, Gaussian Mixture Model, Maximum likelihood, Stochastic embedding, Uncertainty modelingAutores:Carvajal R., Escarate P., Juan C. Agüero, Orellana R.Fuentes:scopusOn the uncertainty modelling for linear continuous-time systems utilising sampled data and Gaussian mixture models
Conference ObjectAbstract: In this paper a Maximum Likelihood estimation algorithm for model error modelling in a continuous-tiPalabras claves:continuous-time model, Discrete-time model, Gaussian Mixture Model, Maximum likelihood, Stochastic embeddingAutores:Carvajal R., Coronel M., Delgado R.A., Escarate P., Juan C. Agüero, Orellana R.Fuentes:scopusVibrations modelling at LBTO utilizing telemetry data
Conference ObjectAbstract: It is widely accepted that the non-turbulent perturbations in modern telescopes arise from the instrPalabras claves:Active or adaptive optics, vibration analysisAutores:Carvajal R., Christou J.C., Coronel M., Escarate P., Hill J.M., Juan C. Agüero, Rahmer G.Fuentes:scopus