@inbook{c19ea18b15b648e5938f7f033c1ad1a5,
title = "Modelling and System Identification of a Monotube Shock Absorber",
abstract = "This paper demonstrates linear and nonlinear system identification methods based on a first-principles monotube shock absorber model. Two models were considered, namely low- and high-content a priori knowledge first-principles models. Operational data collected during testing of a shock absorber on a servo-hydraulic test rig were used in order to validate the proposed system identification methods and evaluate their accuracy. The proposed approach in system identification has potentials for a wide range of engineering applications such as control of active and semi-active suspension system.",
keywords = "First-principles model, Nonlinear model, Shock absorber, System identification",
author = "Piotr Czop and Mariusz Hetma{\'n}czyk and Grzegorz Wszo{\l}ek and Jakub S{\l}oniewski",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.",
year = "2019",
doi = "10.1007/978-3-030-15857-6\_8",
language = "English",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "70--80",
booktitle = "Advances in Intelligent Systems and Computing",
address = "Germany",
}