Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschung

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Externe Organisationen

  • ETH Zürich
  • Universität Stuttgart
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Details

OriginalspracheEnglisch
Titel des Sammelwerks2018 European Control Conference, ECC 2018
Seiten507-513
Seitenumfang7
ISBN (elektronisch)9783952426982
PublikationsstatusVeröffentlicht - 27 Nov. 2018
Extern publiziertJa
Veranstaltung2018 European Control Conference (ECC) - Limassol, Zypern
Dauer: 12 Juni 201815 Juni 2018

Publikationsreihe

Name2018 European Control Conference, ECC 2018

Abstract

We present an economic model predictive control scheme for general nonlinear systems based on a terminal cost and a terminal constraint set. We study in particular systems which are optimally operated at some periodic orbit. Besides recursive feasibility of the control scheme, we provide an asymptotic average performance bound which is no worse than the performance value of the system's optimal periodic orbit. By means of a certain (strict) dissipativity assumption, asymptotic convergence to the optimal periodic orbit is shown. Using a tube-based approach, we extend our method to become applicable in the presence of unknown but bounded disturbances. In addition, we propose the concept of robust optimal periodic operation and show how it can essentially improve the closed-loop performance using a simple supply chain network example.

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Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance. / Wabersich, Kim P.; Bayer, Florian A.; Müller, Matthias A. et al.
2018 European Control Conference, ECC 2018. 2018. S. 507-513 8550262 (2018 European Control Conference, ECC 2018).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschung

Wabersich, KP, Bayer, FA, Müller, MA & Allgöwer, F 2018, Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance. in 2018 European Control Conference, ECC 2018., 8550262, 2018 European Control Conference, ECC 2018, S. 507-513, 2018 European Control Conference (ECC), Limassol, Zypern, 12 Juni 2018. https://doi.org/10.23919/ECC.2018.8550262
Wabersich, K. P., Bayer, F. A., Müller, M. A., & Allgöwer, F. (2018). Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance. In 2018 European Control Conference, ECC 2018 (S. 507-513). Artikel 8550262 (2018 European Control Conference, ECC 2018). https://doi.org/10.23919/ECC.2018.8550262
Wabersich KP, Bayer FA, Müller MA, Allgöwer F. Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance. in 2018 European Control Conference, ECC 2018. 2018. S. 507-513. 8550262. (2018 European Control Conference, ECC 2018). doi: 10.23919/ECC.2018.8550262
Wabersich, Kim P. ; Bayer, Florian A. ; Müller, Matthias A. et al. / Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance. 2018 European Control Conference, ECC 2018. 2018. S. 507-513 (2018 European Control Conference, ECC 2018).
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abstract = "We present an economic model predictive control scheme for general nonlinear systems based on a terminal cost and a terminal constraint set. We study in particular systems which are optimally operated at some periodic orbit. Besides recursive feasibility of the control scheme, we provide an asymptotic average performance bound which is no worse than the performance value of the system's optimal periodic orbit. By means of a certain (strict) dissipativity assumption, asymptotic convergence to the optimal periodic orbit is shown. Using a tube-based approach, we extend our method to become applicable in the presence of unknown but bounded disturbances. In addition, we propose the concept of robust optimal periodic operation and show how it can essentially improve the closed-loop performance using a simple supply chain network example.",
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AB - We present an economic model predictive control scheme for general nonlinear systems based on a terminal cost and a terminal constraint set. We study in particular systems which are optimally operated at some periodic orbit. Besides recursive feasibility of the control scheme, we provide an asymptotic average performance bound which is no worse than the performance value of the system's optimal periodic orbit. By means of a certain (strict) dissipativity assumption, asymptotic convergence to the optimal periodic orbit is shown. Using a tube-based approach, we extend our method to become applicable in the presence of unknown but bounded disturbances. In addition, we propose the concept of robust optimal periodic operation and show how it can essentially improve the closed-loop performance using a simple supply chain network example.

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