@inproceedings{bcc8639b997b4b65bc820fc629d530ee,
title = "On Data Reutilization for Historian Based Predictive Control",
abstract = "This paper presents a robust finite-horizon control scheme based on data that produces feasible control sequences. The scheme makes use of a database that includes information from prior experiences of the same and others controllers handling similar systems. By the convex combination of feasible histories plus an auxiliary control law that deals with uncertainties, this scheme can be used as a robust historian-based predictive controller. Further application could include a cooperative learning-based strategy in which multiple controllers share their previous executions to gain collective benefits in terms of performance. The validity of the proposed controller is tested in a simulated case study.",
keywords = "Cloud-based control, Data-based control, Predictive control",
author = "Maestre, {J. M.} and Eva Masero and Salvador, {J. R.} and Ramirez, {D. R.} and Q. Zhu",
note = "Funding Information: ACKNOWLEDGEMENTS The authors appreciate the financial support by the European Research Council under the H2020 programme for the Funding Information: A dvanced Research Grant: OCONTSOLAR [ref. 789051], the Spanish Ministry of Economy for the project: C3PO-2000 R2D2 [ref. PID2020-119476RB-I00], Junta de Andaluc{\'i}a and FEDER FUNDS for project P20 00546 and the Spanish Ministry of Science and Innovation for Grant FPU18/04476. 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/CDC51059.2022.9992531",
language = "English (US)",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "474--478",
booktitle = "2022 IEEE 61st Conference on Decision and Control, CDC 2022",
}