@inproceedings{6cf45b17ce3a4a75b60cf2df271b1d63,
title = "Robustness and identification issues in Horizon Predictive Control with application to a binary distillation column",
abstract = "This paper analyzes the robustness properties and modeling requirements for model-predictive control via Horizon Predictive Control (HPC). The theory of Structured Singular Values is used to determine optimal values for the correction horizon in HPC given user-provided uncertainty intervals and performance weights. Regarding system identification, control-relevant identification principles are used to provide guidelines for input signal design, prefiltered estimation, and uncertainty modeling. These results are tested experimentally using data from a methanol-isopropanol distillation column.",
author = "Daniel Rivera and Jun, {K. S.} and E. Elisante and Sater, {V. E.} and Horn, {B. C.}",
year = "1992",
doi = "10.23919/acc.1992.4792704",
language = "English (US)",
isbn = "0780302109",
series = "Proceedings of the American Control Conference",
publisher = "Publ by American Automatic Control Council",
pages = "3031--3036",
booktitle = "Proceedings of the American Control Conference",
note = "Proceedings of the 1992 American Control Conference ; Conference date: 24-06-1992 Through 26-06-1992",
}