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scopus(4)
On maximum likelihood estimation of continuous-time oscillators modelled as continuous-time autoregressive system
ArticleAbstract: In this paper, we address the problem of identifying a continuous-time oscillator. We use a continuoPalabras claves:Adaptive optics, continuous-time model, Maximum likelihood, Oscillators identification, VibrationsAutores:Carvajal R., Coronel M., Escarate P., González K., 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:scopusVibration model identification using the maximum likelihood method
Conference ObjectAbstract: Vibration effects acting in the science light path reduce the performance of the adaptive optics sysPalabras claves:Adaptive optics, Continuous-time oscillator, identification, Maximum likelihood, VibrationsAutores:Carvajal R., Coronel M., Escarate P., González K., Juan C. AgüeroFuentes:scopus