INVESTIGADORES
SAD Gonzalo Daniel
congresos y reuniones científicas
Título:
Kalman Filter-like State Observers from Quantized Outputs
Autor/es:
JUAN CARLOS GÓMEZ; GONZALO DANIEL SAD
Lugar:
San Juan
Reunión:
Conferencia; XIX Reunión de Trabajo en Procesamiento de la Información y Control; 2021
Institución organizadora:
Universidad Nacional de San Juan
Resumen:
Three Kalman Filter like algorithms for the recursive estimation of the states of linear systems whose outputs are measured through sensors with multilevel quantized outputs are introduced in this paper. The proposed algorithms are proved to be optimal in the sense that they minimize the a posteriori state estimation error covariance matrix. Monte Carlo simulations are carried out to illustrate the performance of the algorithms. As a side result, it is shown how the algorithms can be adapted for the parameter estimation of linear systems in linear regression form, from quantized outputs.
