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On Data Reutilization for Historian Based Predictive Control

Authors

Maestre J.M. , Masero E. , SALVADOR ORTIZ, JOSÉ RAMÓN, Ramirez D.R. , Zhu Q.

External publication

No

Means

Proc IEEE Conf Decis Control

Scope

Conference Paper

Nature

Científica

JCR Quartile

SJR Quartile

SJR Impact

0.721

Publication date

01/01/2023

ISI

000948128100061

Scopus Id

2-s2.0-85146990661

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. © 2022 IEEE.

Keywords

History; Cloud-based; Cloud-based control; Control schemes; Control sequences; Data based controls; Finite horizons; Horizon control; Predictive control; Prior experience; Re-utilization; Controllers

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