CIFASIS 20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
A State Observer from Multilevel Quantized Outputs
Autor/es:
GONZALO DANIEL SAD; JUAN CARLOS GÓMEZ
Lugar:
Buenos Aires
Reunión:
Congreso; 27 Congreso Argentino de Control Automático (AADECA2020); 2020
Institución organizadora:
AADECA
Resumen:
In this paper, a Kalman Filter type algorithm is introduced for the recursive estimation of the states of linear systems whose outputs are measured through sensors with multilevel quantized outputs. It is also shown how the algorithm can be adapted for the parameter estimation of linear systems in linear regression form, from quantized outputs. The influence of the quantization step on the performance of the proposed algorithms is analyzed through simulation examples.
