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

S. Weiland; A.A. Stoorvogel; A. Tiagounov

doi:10.1109/CDC.2001.980972

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

S. Weiland, A.A. Stoorvogel, A. Tiagounov

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

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 language	English
Title of host publication	Proceedings 40th IEEE Conference on Decision and Control (Orlando FL, USA, December 4-7, 2001)
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	4832-4837
Number of pages	6
ISBN (Print)	0-7803-7061-9
DOIs	https://doi.org/10.1109/CDC.2001.980972
Publication status	Published - 2001

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10.1109/CDC.2001.980972

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title = "End-point parametrization and guaranteed stability for a model predictive control scheme",

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End-point parametrization and guaranteed stability for a model predictive control scheme. / Weiland, S.; Stoorvogel, A.A.; Tiagounov, A.
Proceedings 40th IEEE Conference on Decision and Control (Orlando FL, USA, December 4-7, 2001). Piscataway: Institute of Electrical and Electronics Engineers, 2001. p. 4832-4837 980972.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Tiagounov, A.

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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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DO - 10.1109/CDC.2001.980972

M3 - Conference contribution

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BT - Proceedings 40th IEEE Conference on Decision and Control (Orlando FL, USA, December 4-7, 2001)

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

ER -

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

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