End-point parametrization and guaranteed stability for a model predictive control scheme

Siep Weiland, Antonie Arij Stoorvogel, Andrei A. Tiagounov

Research output: Contribution to conferencePaperAcademicpeer-review

4 Citations (Scopus)
41 Downloads (Pure)

Abstract

In this paper we consider the closed-loop asymptotic stability of the model predictive control scheme which involves the minimization of a quadratic criterion with a varying weight on the end-point state. In particular, we investigate the stability properties of the (MPC-) controlled system as function of the end-point penalty and provide a useful parametrization of the class of end-point penalties for which stability of the controlled system can be guaranteed. The results are successfully applied for the implementation of an MPC controller of a binary distillation process
Original languageUndefined
Pages4832-4837
Number of pages6
DOIs
Publication statusPublished - Dec 2001
Event40th IEEE Conference on Decision and Control, CDC 2001 - Hyatt Regency Grand Cypress, Orlando, United States
Duration: 4 Dec 20017 Dec 2001

Conference

Conference40th IEEE Conference on Decision and Control, CDC 2001
Abbreviated titleCDC
CountryUnited States
CityOrlando
Period4/12/017/12/01

Keywords

  • IR-69041
  • EWI-16645

Cite this

Weiland, S., Stoorvogel, A. A., & Tiagounov, A. A. (2001). End-point parametrization and guaranteed stability for a model predictive control scheme. 4832-4837. Paper presented at 40th IEEE Conference on Decision and Control, CDC 2001, Orlando, United States. https://doi.org/10.1109/.2001.980972
Weiland, Siep ; Stoorvogel, Antonie Arij ; Tiagounov, Andrei A. / End-point parametrization and guaranteed stability for a model predictive control scheme. Paper presented at 40th IEEE Conference on Decision and Control, CDC 2001, Orlando, United States.6 p.
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Weiland, S, Stoorvogel, AA & Tiagounov, AA 2001, 'End-point parametrization and guaranteed stability for a model predictive control scheme' Paper presented at 40th IEEE Conference on Decision and Control, CDC 2001, Orlando, United States, 4/12/01 - 7/12/01, pp. 4832-4837. https://doi.org/10.1109/.2001.980972

End-point parametrization and guaranteed stability for a model predictive control scheme. / Weiland, Siep; Stoorvogel, Antonie Arij; Tiagounov, Andrei A.

2001. 4832-4837 Paper presented at 40th IEEE Conference on Decision and Control, CDC 2001, Orlando, United States.

Research output: Contribution to conferencePaperAcademicpeer-review

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N2 - In this paper we consider the closed-loop asymptotic stability of the model predictive control scheme which involves the minimization of a quadratic criterion with a varying weight on the end-point state. In particular, we investigate the stability properties of the (MPC-) controlled system as function of the end-point penalty and provide a useful parametrization of the class of end-point penalties for which stability of the controlled system can be guaranteed. The results are successfully applied for the implementation of an MPC controller of a binary distillation process

AB - In this paper we consider the closed-loop asymptotic stability of the model predictive control scheme which involves the minimization of a quadratic criterion with a varying weight on the end-point state. In particular, we investigate the stability properties of the (MPC-) controlled system as function of the end-point penalty and provide a useful parametrization of the class of end-point penalties for which stability of the controlled system can be guaranteed. The results are successfully applied for the implementation of an MPC controller of a binary distillation process

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Weiland S, Stoorvogel AA, Tiagounov AA. End-point parametrization and guaranteed stability for a model predictive control scheme. 2001. Paper presented at 40th IEEE Conference on Decision and Control, CDC 2001, Orlando, United States. https://doi.org/10.1109/.2001.980972