Documentos de Yuz J.I. | REDI

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Mostrando 5 resultados de: 5

Filtros aplicados

Palabras Claves: "system identification"

Subtipo de publicación

Conference Object(2)

Publisher

International Journal of Control(2)

2018 22nd International Conference on System Theory, Control and Computing, ICSTCC 2018 - Proceedings(1)

IFAC Proceedings Volumes (IFAC-PapersOnline)(1)

Área temáticas

Ciencias de la computación(2)

Física aplicada(2)

Métodos informáticos especiales(2)

Principios generales de matemáticas(1)

Área de conocimiento

Estadísticas(3)

Optimización matemática(3)

Procesamiento de señales(1)

Año de Publicación

Origen

Palabras Claves

Maximum likelihood(3)

maximum likelihood estimation(2)

Expectation-maximization(1)

Frequency domain(1)

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.

Constrained maximum likelihood estimation for state space sampled-data models

Conference Object

Abstract: The Expectation-Maximization algorithm is applied in this paper to estimate state-space sampled-data

Palabras claves:

Constraints, Expectation-maximization, linear matrix inequalities, Maximum likelihood, system identification

Avila F., Donaire A., Juan C. Agüero, Yuz J.I.

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.

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.

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.