@inproceedings{0dcd0302360940d8bdd0e1587b6cd7d5,
title = "Dissipative distributed parameter systems on-line reduction and control using DEIM/APOD combination",
abstract = "The output feedback control of distributed parameter systems based on adaptive model reduction is explored in this paper. A significant computational hurdle when using model reduction for control (MRC) is the numerical computation of integrals that appear in the reduced order model limiting MRC's applicability when dealing with nonlinearities. The objective of this paper is to further reduce the computational cost in adaptive proper orthogonal decomposition (APOD). It is addressed by using discrete empirical interpolation method (DEIM) in the observer and controller to reduce the computational cost associated with the nonlinear functions. The proposed method is successfully illustrated on a diffusion reaction process and a fluid flow system described by the Kuramoto-Sivashinsky equation.",
author = "Manda Yang and Antonios Armaou",
note = "Funding Information: Financial support from the National Science foundation award #13-00322 and Ministry of Science and Technology of the P.R.C award S2016G9027 is gratefully acknowledged. Publisher Copyright: {\textcopyright} 2018 AACC.; 2018 Annual American Control Conference, ACC 2018 ; Conference date: 27-06-2018 Through 29-06-2018",
year = "2018",
month = aug,
day = "9",
doi = "10.23919/ACC.2018.8431100",
language = "English (US)",
isbn = "9781538654286",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2557--2562",
booktitle = "2018 Annual American Control Conference, ACC 2018",
address = "United States",
}