@inproceedings{5b8b484e8e2e4f29af6e4a9dee1be157,
title = "Batch-Least Squares System Identification Algorithm for 2D Repetitive Processes",
abstract = "The batch-least squares (BLS) approach to parameter identification is a well-known technique utilized for system identification. In this paper, we adapt the BLS approach to a 2D repetitive process model. Our approach first derives a regression model for the 2D repetitive process, which is then used for implementing the BLS algorithm. Our adapted BLS algorithm then uses the repetitive nature of the system to identify both the parameters associated with the system repetition and inputs applied. We evaluated the adapted BLS algorithm on an additive manufacturing process.",
author = "Seltzer, {Dustin M.} and Schiano, {Jeffrey L.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 61st IEEE Conference on Decision and Control, CDC 2022 ; Conference date: 06-12-2022 Through 09-12-2022",
year = "2022",
doi = "10.1109/CDC51059.2022.9993167",
language = "English (US)",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "862--867",
booktitle = "2022 IEEE 61st Conference on Decision and Control, CDC 2022",
address = "United States",
}