@inbook{a6a3b5b828f1442d97bec9979deeefc9,
title = "An Alternative Stiction-modelling Approach and Comparison of Different Stiction Models",
abstract = "Due to the adverse impact of valve stiction in the process industry, both physical models and empirical data-driven models have been developed in the past decade to investigate the valve-stiction behaviour. Chapter 2 presented two data-driven models: Choudhury{\textquoteright}s model and Kano{\textquoteright}s model. In this chapter, we focus on another data-driven modelling approach (i.e. He{\textquoteright}s model).We compare different data-driven models against a well-established physical model. The comparison is carried out in several aspects, including model assumptions, valve signatures generated by the models, and closed-loop behaviour when valve models are included in a closed-loop system. A new data-driven model is proposed based on a thorough analysis of the physical model and its effectiveness in simulating valve stiction is demonstrated.",
author = "HE, {Q. Peter} and Jin WANG and QIN, {S. Joe}",
year = "2010",
doi = "10.1007/978-1-84882-775-2_3",
language = "English",
isbn = "9781848827745",
series = "Advances in Industrial Control",
publisher = "Springer",
pages = "37--59",
editor = "Mohieddine JELALI and Biao HUANG",
booktitle = "Detection and Diagnosis of Stiction in Control Loops : State of the Art and Advanced Methods",
}