Abstract
n the past years, many processes in industry are controlled
or monitored using sensors, controllers and actuators connected
to a network. The multi-sensor fusion for this processes has been
widely studied in the literature. In this sense, several approaches
have been proposed in order to estimate the state or outputs
of a system when the sensor information is acquired through
a network with packet dropout, network-induced delays, or
accessibility constraints due to, for instance, its shared nature.
This problem can be addressed as a multi-sensor filtering problem
with scarce,delayed and out-of-sequence measurements. Most of
the approaches can be classified into two main streams: Kalman
filter based approaches (computed on line), and gain scheduling
approaches (computed offline).
