Mostrando 9 resultados de: 9
Filtros aplicados
Subtipo de publicación
Conference Object(9)
Área temáticas
Ciencias de la computación(6)
Física aplicada(3)
Métodos informáticos especiales(2)
Filosofía antigua, medieval y oriental(1)
Programación informática, programas, datos, seguridad(1)
Área de conocimiento
Optimización matemática(5)
Sistema de control(3)
Teoría de control(3)
Algoritmo(2)
Inferencia estadística(1)
Origen
scopus(9)
Application of Rank-Constrained Optimisation to Nonlinear System Identification
Conference ObjectAbstract: Nonlinear System Identification has a rich history spanning at least 5 decades. A very flexible apprPalabras claves:Autores:Delgado R.A., Goodwin G.C., Juan C. Agüero, Mendes E.M.A.M.Fuentes:scopusEM-based identification of ARX systems having quantized output data
Conference ObjectAbstract: In this paper we develop a novel algorithm to identify an auto-regressive with exogenous signal systPalabras claves:Autores:Carvajal R., González K., Juan C. AgüeroFuentes:scopusEM-based identification of static errors-in-variables systems utilizing Gaussian Mixture models
Conference ObjectAbstract: In this paper we address the problem of identifying a static errors-in-variables system. Our proposaPalabras claves:Errors-in-Variables, Estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, OptimizationAutores:Carvajal R., Cedeno A.L., Juan C. Agüero, Orellana R.Fuentes:scopusOn Filtering Methods for State-Space Systems having Binary Output Measurements
Conference ObjectAbstract: In this paper we develop two filtering algorithms for state-space systems with binary outputs. We apPalabras claves:Binary Quantizer, Gaussian Quadrature, Gaussian sum filter, particle Filter, State EstimationAutores:Albornoz R., Carvajal R., Cedeno A.L., Godoy B.I., Juan C. AgüeroFuentes:scopusOn Identification of Networked Systems with Time-invariant Topology
Conference ObjectAbstract: This paper studies the problem of identification for networked systems. We consider both heterogeneoPalabras claves:identification, Maximum likelihood, Networked systems, Time-invariant topologyAutores:Juan C. Agüero, Ninness B., Zamani M.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: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:scopusModel Error Modeling and Stochastic Embedding
Conference ObjectAbstract: To estimate a model of useful complexity for control design, at the same time as having a good insigPalabras claves:Empirical Bayes, Error quantification, Model errorsAutores:Chen T., Goodwin G.C., Juan C. Agüero, Ljung L.Fuentes:scopusModel error modelling using a stochastic embedding approach with gaussian mixture models for FIR systems
Conference ObjectAbstract: In this paper a Maximum Likelihood estimation algorithm for error-model modelling using a stochasticPalabras claves:Estimation, Expectation-maximization, Gaussian Mixture, Maximum likelihood, Model errors, Stochastic embeddingAutores:Carvajal R., Goodwin G.C., Juan C. Agüero, Orellana R.Fuentes:scopus