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On Data Reutilization for Historian Based Predictive Control

Autores

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

Publicación externa

No

Medio

Proc IEEE Conf Decis Control

Alcance

Conference Paper

Naturaleza

Científica

Cuartil JCR

Cuartil SJR

Impacto SJR

0.721

Fecha de publicacion

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.

Palabras clave

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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