@inproceedings{bc8ee0dc5bd2403a8517b8274a32aa99,
title = "Models and methods for hybrid system identification: a systematic survey",
abstract = "Dynamical systems and processes that either exhibit non-smooth behaviours (e.g. through logic control or natural phenomena) or work in different modes of operation are usually represented using hybrid systems models, i.e. mathematical models that combine continuous dynamics with discrete-event dynamics. Identification of a hybrid system includes finding switching patterns and identification of model parameters to obtain a data-driven model. This survey paper provides a systematic review of models (how to parameterize the system) and methods (how to identify unknown parameters) proposed for hybrid system identification with an exposition of recent advances and developments, and further research directions.",
keywords = "Hybrid systems, jump systems, piecewise-affine systems, switched systems, system identification",
author = "Ali Moradvandi and Lindeboom, {Ralph E.F.} and Edo Abraham and {De Schutter}, Bart",
year = "2023",
doi = "10.1016/j.ifacol.2023.10.1553",
language = "English",
series = "IFAC-PapersOnLine",
publisher = "Elsevier",
number = "2",
pages = "95--107",
editor = "Hideaki Ishii and Yoshio Ebihara and Jun-ichi Imura and Masaki Yamakita",
booktitle = "IFAC-PapersOnLine",
edition = "2",
note = "22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",
}