Design of Low Cost Virtual Sensors

In this paper, the problem of predicting the output of a system at regular periods from irregularly sampled signals is addressed. A model based predictor that takes into account the possibly delayed measurement signals is used. Robustness of the predictor to the time-delays and data availability as well as disturbance and noise attenuation is dealt with via H∞performance. A design strategy is proposed based on the available disturbances information.