Performance analysis of economic MPC with self-tuning terminal cost

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

External Research Organisations

  • University of Stuttgart
  • Imperial College London
View graph of relations

Details

Original languageEnglish
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2845-2850
Number of pages6
ISBN (print)9781479932726
Publication statusPublished - 2014
Externally publishedYes
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: 4 Jun 20146 Jun 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Abstract

In this paper, we further analyze an economic model predictive control (MPC) algorithm with self-tuning terminal cost, which was recently proposed in [1]. It is shown that if a generalized terminal region constraint instead of a generalized terminal equality constraint is used, improved closed-loop asymptotic average performance bounds can be obtained. In particular, in contrast to the results in [1], these bounds can be obtained a priori. We discuss how the necessary parameters for the generalized terminal region setting can be calculated, and we illustrate our findings with a numerical example.

Keywords

    Predictive control for nonlinear systems

ASJC Scopus subject areas

Sustainable Development Goals

Cite this

Performance analysis of economic MPC with self-tuning terminal cost. / Müller, Matthias A.; Angeli, David; Allgöwer, Frank.
2014 American Control Conference, ACC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2845-2850 6858962 (Proceedings of the American Control Conference).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Müller, MA, Angeli, D & Allgöwer, F 2014, Performance analysis of economic MPC with self-tuning terminal cost. in 2014 American Control Conference, ACC 2014., 6858962, Proceedings of the American Control Conference, Institute of Electrical and Electronics Engineers Inc., pp. 2845-2850, 2014 American Control Conference, ACC 2014, Portland, OR, United States, 4 Jun 2014. https://doi.org/10.1109/ACC.2014.6858962
Müller, M. A., Angeli, D., & Allgöwer, F. (2014). Performance analysis of economic MPC with self-tuning terminal cost. In 2014 American Control Conference, ACC 2014 (pp. 2845-2850). Article 6858962 (Proceedings of the American Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2014.6858962
Müller MA, Angeli D, Allgöwer F. Performance analysis of economic MPC with self-tuning terminal cost. In 2014 American Control Conference, ACC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 2845-2850. 6858962. (Proceedings of the American Control Conference). doi: 10.1109/ACC.2014.6858962
Müller, Matthias A. ; Angeli, David ; Allgöwer, Frank. / Performance analysis of economic MPC with self-tuning terminal cost. 2014 American Control Conference, ACC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 2845-2850 (Proceedings of the American Control Conference).
Download
@inproceedings{a82bc098038640629bcb8146ab92b3e6,
title = "Performance analysis of economic MPC with self-tuning terminal cost",
abstract = "In this paper, we further analyze an economic model predictive control (MPC) algorithm with self-tuning terminal cost, which was recently proposed in [1]. It is shown that if a generalized terminal region constraint instead of a generalized terminal equality constraint is used, improved closed-loop asymptotic average performance bounds can be obtained. In particular, in contrast to the results in [1], these bounds can be obtained a priori. We discuss how the necessary parameters for the generalized terminal region setting can be calculated, and we illustrate our findings with a numerical example.",
keywords = "Predictive control for nonlinear systems",
author = "M{\"u}ller, {Matthias A.} and David Angeli and Frank Allg{\"o}wer",
year = "2014",
doi = "10.1109/ACC.2014.6858962",
language = "English",
isbn = "9781479932726",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2845--2850",
booktitle = "2014 American Control Conference, ACC 2014",
address = "United States",
note = "2014 American Control Conference, ACC 2014 ; Conference date: 04-06-2014 Through 06-06-2014",

}

Download

TY - GEN

T1 - Performance analysis of economic MPC with self-tuning terminal cost

AU - Müller, Matthias A.

AU - Angeli, David

AU - Allgöwer, Frank

PY - 2014

Y1 - 2014

N2 - In this paper, we further analyze an economic model predictive control (MPC) algorithm with self-tuning terminal cost, which was recently proposed in [1]. It is shown that if a generalized terminal region constraint instead of a generalized terminal equality constraint is used, improved closed-loop asymptotic average performance bounds can be obtained. In particular, in contrast to the results in [1], these bounds can be obtained a priori. We discuss how the necessary parameters for the generalized terminal region setting can be calculated, and we illustrate our findings with a numerical example.

AB - In this paper, we further analyze an economic model predictive control (MPC) algorithm with self-tuning terminal cost, which was recently proposed in [1]. It is shown that if a generalized terminal region constraint instead of a generalized terminal equality constraint is used, improved closed-loop asymptotic average performance bounds can be obtained. In particular, in contrast to the results in [1], these bounds can be obtained a priori. We discuss how the necessary parameters for the generalized terminal region setting can be calculated, and we illustrate our findings with a numerical example.

KW - Predictive control for nonlinear systems

UR - http://www.scopus.com/inward/record.url?scp=84905707051&partnerID=8YFLogxK

U2 - 10.1109/ACC.2014.6858962

DO - 10.1109/ACC.2014.6858962

M3 - Conference contribution

AN - SCOPUS:84905707051

SN - 9781479932726

T3 - Proceedings of the American Control Conference

SP - 2845

EP - 2850

BT - 2014 American Control Conference, ACC 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 American Control Conference, ACC 2014

Y2 - 4 June 2014 through 6 June 2014

ER -

By the same author(s)