@inproceedings{4082fec6b26144f1bb44803c088de9b7,
title = "Adaptive calibration of surrogate measurements and its application to the control of moisture content in paper manufacturing",
abstract = "Many industrial processes are in cascade configuration in which the material being processed goes through a sequence of processing units. In many cases, direct in-process measurements of the relevant variable are not available at all but at the last processing unit Surrogate or model based soft measurements in which the relevant in-process variables are inferred from other measurements would be useful in these situations. Models necessary for the surrogate measurements however, are often not accurately known. In this paper, we propose a control method in which the surrogate measurement models are adaptively calibrated and the surrogate measurements are used for in-process feedback. The control law is developed in the context of moisture content control for paper manufacturing via successive vacuum dewatering. A Lyapunov based algorithm is derived and proved. Simulation results show that the proposed control strategy can regulate the exiting moisture content of each box at the desired value.",
keywords = "Adaptive calibration, Cascade systems, Paper manufacturing, Soft sensors, Surrogate measurements",
author = "Zeyu Liu and Li, {Perry Y.}",
year = "2004",
doi = "10.1109/ACC.2004.182779",
language = "English (US)",
isbn = "0780383354",
series = "Proceedings of the American Control Conference",
pages = "3203--3208",
booktitle = "Proceedings of the 2004 American Control Conference (AAC)",
note = "Proceedings of the 2004 American Control Conference (AAC) ; Conference date: 30-06-2004 Through 02-07-2004",
}