On Filtering Methods for State-Space Systems having Binary Output Measurements

Angel L. Cedeño, Ricardo Albornoz, Rodrigo Carvajal, Boris I. Godoy, Juan C. Agüero

Producción científica: Contribución a una revistaArtículo de la conferenciarevisión exhaustiva

7 Citas (Scopus)

Resumen

In this paper we develop two filtering algorithms for state-space systems with binary outputs. We approximate the conditional probability mass function of the output signal given the state by using a Gaussian quadrature rule. This approximation naturally leads to a Gaussian Sum structure for the a posteriori density function. Our first algorithm is based on Gaussian Mixture models, and the second algorithm is based on Particle Filtering. Finally, we present numerical examples to illustrate the effectiveness of our proposal.

Idioma originalInglés
Páginas (desde-hasta)815-820
Número de páginas6
PublicaciónIFAC-PapersOnLine
Volumen54
N.º7
DOI
EstadoPublicada - 1 jul. 2021
Publicado de forma externa
Evento19th IFAC Symposium on System Identification, SYSID 2021 - Padova, Italia
Duración: 13 jul. 202116 jul. 2021

Huella

Profundice en los temas de investigación de 'On Filtering Methods for State-Space Systems having Binary Output Measurements'. En conjunto forman una huella única.

Citar esto