Documentos de Goodwin G.C. | REDI

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Mostrando 10 resultados de: 12

Filtros aplicados

Palabras Claves: "system identification"

Subtipo de publicación

Conference Object(5)

Publisher

IFAC Proceedings Volumes (IFAC-PapersOnline)(4)

International Journal of Control(2)

IEEE Transactions on Automatic Control(1)

Proceedings of the IEEE Conference on Decision and Control(1)

Área temáticas

Ciencias de la computación(8)

Física aplicada(4)

Métodos informáticos especiales(4)

Conocimiento(1)

Fuerzas aéreas y otras fuerzas especializadas(1)

Área de conocimiento

Optimización matemática(6)

Estadísticas(2)

Inferencia estadística(2)

Procesamiento de señales(2)

Año de Publicación

Origen

Palabras Claves

Maximum likelihood(4)

maximum likelihood estimation(3)

Errors in variables(2)

Frequency domain identification(2)

Closed Loop Identification(1)

An identification method for Errors-in-Variables systems using incomplete data

Conference Object

Abstract: In this paper we develop a novel identification algorithm for Errors-in-Variables systems (represent

Palabras claves:

Errors-in-Variables systems, Frequency domain identification, Incomplete data, Maximum likelihood, system identification

Carvajal R., Delgado R.A., Goodwin G.C., Juan C. Agüero

A novel approach to model error modelling using the expectation- maximization algorithm

Conference Object

Abstract: In this paper we develop a novel approach to model error modelling. There are natural links to other

Palabras claves:

EM algorithm, model error modelling, system identification

Carvajal R., Delgado R.A., Goodwin G.C., Juan C. Agüero

A numerical study of time and frequency domain maximum likelihood estimation

Conference Object

Abstract: Different maximum likelihood formulations have been proposed in the literature for dynamic system Id

Palabras claves:

Frequency domain, maximum likelihood estimation, system identification

Delgado R.A., Goodwin G.C., Juan C. Agüero, Yuz J.I.

A virtual closed loop method for closed loop identification

Abstract: Indirect methods for the identification of linear plant models on the basis of closed loop data are

Palabras claves:

Closed Loop Identification, system identification

Goodwin G.C., Juan C. Agüero, Van Den Hof P.M.J.

Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation

Abstract: In this paper, we study the accuracy of linear multiple-input multiple-output (MIMO) models obtained

Palabras claves:

accuracy, maximum likelihood estimation, system identification

Goodwin G.C., Hjalmarsson H., Juan C. Agüero, Rojas C.R.

An EM-based identification algorithm for a class of hybrid systems with application to power electronics

Abstract: In this paper we present an identification algorithm for a class of continuous-time hybrid systems.

Palabras claves:

Maximum likelihood, power conversion, system identification

Aguilera R.P., Godoy B.I., Goodwin G.C., Juan C. Agüero, Yuz J.I.

Identifiability of errors in variables dynamic systems

Abstract: There has been substantial research carried out on the errors in variables (EIV) identifiability pro

Palabras claves:

Errors in variables, Identifiability, system identification

Goodwin G.C., Juan C. Agüero

On the equivalence of time and frequency domain maximum likelihood estimation

Abstract: Maximum likelihood estimation has a rich history. It has been successfully applied to many problems

Palabras claves:

Frequency domain identification, maximum likelihood estimation, system identification

Delgado R.A., Goodwin G.C., Juan C. Agüero, Yuz J.I.

On the optimal estimation of errors in variables models for robust control

Conference Object

Abstract: There exists a substantial literature dealing with the problem of errors-in- variables identificatio

Palabras claves:

Discrete-time systems, Errors in variables, Robust control, Sampled-data systems, system identification

Goodwin G.C., Juan C. Agüero, Salgado M.E.

Identification of sparse FIR systems using a general quantisation scheme

Abstract: This paper presents an identification scheme for sparse FIR systems with quantised data. We consider

Palabras claves:

Maximum likelihood, Quantised systems, sparsity, system identification

Carvajal R., Godoy B.I., Goodwin G.C., Juan C. Agüero, Yuz J.I.