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Disturbance modelling for minimum variance control in adaptive optics systems using wavefront sensor sampled-data
ArticleAbstract: Modern large telescopes are built based on the effectiveness of adaptive optics systems in mitigatinPalabras claves:Adaptive optics, disturbances, identification, Minimum variance controller, modelling, Wavefront sensor, Whittle’s likelihoodAutores:Carvajal R., Coronel M., Escarate P., Juan C. AgüeroFuentes:scopusOn 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:scopus