Estimation in multisensor networked systems with scarce measurements and time varying delays

Autores UPV


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).