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IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies, CHILECON 2019(1)
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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 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:scopusIdentification of Continuous-Time Deterministic System utilizing Orthonormal Basis Functions and Sample Data
Conference ObjectAbstract: In this paper we address the identification problem of a continuous-time deterministic system. We coPalabras claves:continuous-time model, Least Square, orthonormal basis function of Laguerre, system identificationAutores:Carvajal R., Coronel M., Juan C. AgüeroFuentes:scopusIdentification of continuous-time systems utilising Kautz basis functions from sampled-data
Conference ObjectAbstract: In this paper we address the problem of identifying a continuous-time deterministic system utilisingPalabras claves:continuous-time model, Discrete-time model, Kautz basis functions, Maximum likelihood, system identificationAutores:Carvajal R., Coronel M., Juan C. AgüeroFuentes:scopus