Efficient nonlinear model predictive control

M. Cannon; B. Kouvaritakis; A. C. Brooms; Y. I. Lee

doi:10.1109/acc.2000.878857

Efficient nonlinear model predictive control

M. Cannon
, B. Kouvaritakis
, A. C. Brooms
, Y. I. Lee

Dept. of Electrical and Information Engineering

University of Oxford

Research output: Contribution to journal › Conference article › peer-review

4 Scopus citations

Abstract

For large numbers of degrees of freedom and/or high dimensional systems, nonlinear model predictive control algorithms based on dual mode control can become intractable. This paper proposes an alternative which deploys the closed-loop paradigm that has proved effective for the case of linear time-varying or uncertain systems. The various attributes and computational advantages of the approach are shown to carry over to the nonlinear case.

Original language	English
Pages (from-to)	255-259
Number of pages	5
Journal	Proceedings of the American Control Conference
Volume	1
DOIs	https://doi.org/10.1109/acc.2000.878857
State	Published - 2000
Event	2000 American Control Conference - Chicago, IL, USA Duration: 28 Jun 2000 → 30 Jun 2000

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title = "Efficient nonlinear model predictive control",

abstract = "For large numbers of degrees of freedom and/or high dimensional systems, nonlinear model predictive control algorithms based on dual mode control can become intractable. This paper proposes an alternative which deploys the closed-loop paradigm that has proved effective for the case of linear time-varying or uncertain systems. The various attributes and computational advantages of the approach are shown to carry over to the nonlinear case.",

author = "M. Cannon and B. Kouvaritakis and Brooms, \{A. C.\} and Lee, \{Y. I.\}",

year = "2000",

doi = "10.1109/acc.2000.878857",

language = "English",

volume = "1",

pages = "255--259",

journal = "Proceedings of the American Control Conference",

issn = "0743-1619",

note = "2000 American Control Conference ; Conference date: 28-06-2000 Through 30-06-2000",

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TY - JOUR

T1 - Efficient nonlinear model predictive control

AU - Cannon, M.

AU - Kouvaritakis, B.

AU - Brooms, A. C.

AU - Lee, Y. I.

PY - 2000

Y1 - 2000

N2 - For large numbers of degrees of freedom and/or high dimensional systems, nonlinear model predictive control algorithms based on dual mode control can become intractable. This paper proposes an alternative which deploys the closed-loop paradigm that has proved effective for the case of linear time-varying or uncertain systems. The various attributes and computational advantages of the approach are shown to carry over to the nonlinear case.

AB - For large numbers of degrees of freedom and/or high dimensional systems, nonlinear model predictive control algorithms based on dual mode control can become intractable. This paper proposes an alternative which deploys the closed-loop paradigm that has proved effective for the case of linear time-varying or uncertain systems. The various attributes and computational advantages of the approach are shown to carry over to the nonlinear case.

UR - https://www.scopus.com/pages/publications/0034545487

U2 - 10.1109/acc.2000.878857

DO - 10.1109/acc.2000.878857

M3 - Conference article

AN - SCOPUS:0034545487

SN - 0743-1619

VL - 1

SP - 255

EP - 259

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - 2000 American Control Conference

Y2 - 28 June 2000 through 30 June 2000

ER -

Efficient nonlinear model predictive control

Abstract

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