Adaptive Economic Model Predictive Control for linear systems with performance guarantees

Fuente: arXiv
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Autori principali: Degner, Maximilian, Soloperto, Raffaele, Zeilinger, Melanie N., Lygeros, John, Köhler, Johannes
Natura: Preprint
Pubblicazione: 2024
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author Degner, Maximilian
Soloperto, Raffaele
Zeilinger, Melanie N.
Lygeros, John
Köhler, Johannes
author_facet Degner, Maximilian
Soloperto, Raffaele
Zeilinger, Melanie N.
Lygeros, John
Köhler, Johannes
contents We present a model predictive control (MPC) formulation to directly optimize economic criteria for linear constrained systems subject to disturbances and uncertain model parameters. The proposed formulation combines a certainty equivalent economic MPC with a simple least-squares parameter adaptation. For the resulting adaptive economic MPC scheme, we derive strong asymptotic and transient performance guarantees. We provide a numerical example involving building temperature control and demonstrate performance benefits of online parameter adaptation.
format Preprint
id arxiv_https___arxiv_org_abs_2403_18398
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Adaptive Economic Model Predictive Control for linear systems with performance guarantees
Degner, Maximilian
Soloperto, Raffaele
Zeilinger, Melanie N.
Lygeros, John
Köhler, Johannes
Systems and Control
Optimization and Control
We present a model predictive control (MPC) formulation to directly optimize economic criteria for linear constrained systems subject to disturbances and uncertain model parameters. The proposed formulation combines a certainty equivalent economic MPC with a simple least-squares parameter adaptation. For the resulting adaptive economic MPC scheme, we derive strong asymptotic and transient performance guarantees. We provide a numerical example involving building temperature control and demonstrate performance benefits of online parameter adaptation.
title Adaptive Economic Model Predictive Control for linear systems with performance guarantees
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2403.18398