A State Observer from Multilevel Quantized Outputs

JUAN CARLOS GÓMEZ; GONZALO DANIEL SAD

Buenos Aires

Congreso; 27 Congreso Argentino de Control Automático (AADECA2020); 2020

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.