Efficient nonlinear model predictive control

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

Research output: Contribution to journalConference articlepeer-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 languageEnglish
Pages (from-to)255-259
Number of pages5
JournalProceedings of the American Control Conference
Volume1
DOIs
StatePublished - 2000
Event2000 American Control Conference - Chicago, IL, USA
Duration: 28 Jun 200030 Jun 2000

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