Print Email Facebook Twitter Models and methods for hybrid system identification Title Models and methods for hybrid system identification: a systematic survey Author Moradvandi, A. (TU Delft Sanitary Engineering) Lindeboom, R.E.F. (TU Delft Laboratory Water Management) Abraham, E. (TU Delft Water Resources) De Schutter, B.H.K. (TU Delft Delft Center for Systems and Control) Contributor Ishii, Hideaki (editor) Ebihara, Yoshio (editor) Imura, Jun-ichi (editor) Yamakita, Masaki (editor) Department Delft Center for Systems and Control Date 2023 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. Subject Hybrid systemsjump systemspiecewise-affine systemsswitched systemssystem identification To reference this document use: http://resolver.tudelft.nl/uuid:bc8ee0dc-5bd2-403a-8517-b8274a32aa99 DOI https://doi.org/10.1016/j.ifacol.2023.10.1553 Publisher Elsevier ISBN 9781713872344 Source IFAC-PapersOnLine (2) Event 22nd IFAC World Congress, 2023-07-09 → 2023-07-14, Yokohama, Japan Series IFAC-PapersOnLine, 2405-8963, 56 (2) Part of collection Institutional Repository Document type conference paper Rights © 2023 A. Moradvandi, R.E.F. Lindeboom, E. Abraham, B.H.K. De Schutter Files PDF 1-s2.0-S2405896323019614-main.pdf 625.84 KB Close viewer /islandora/object/uuid:bc8ee0dc-5bd2-403a-8517-b8274a32aa99/datastream/OBJ/view