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Nominal model predictive control

URN to cite this document: urn:nbn:de:bvb:703-epub-1991-0

Title data

Grüne, Lars:
Nominal model predictive control.
Department of Mathematics, University of Bayreuth
Bayreuth , 2013 . - 5 S.

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Abstract

Model Predictive Control is a controller design method which synthesizes a sampled data feedback controller from the iterative solution of open loop optimal control problems. We describe the basic functionality of MPC controllers, their properties regarding feasibility, stability and performance and the assumptions needed in order to rigorously ensure these properties in a nominal setting.

Further data

Item Type: Preprint, postprint
Keywords: nominal model predictive control; feedback controller
DDC Subjects: 500 Science > 510 Mathematics
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne
Profile Fields > Advanced Fields > Nonlinear Dynamics
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Profile Fields
Profile Fields > Advanced Fields
Language: English
Originates at UBT: Yes
URN: urn:nbn:de:bvb:703-epub-1991-0
Date Deposited: 17 Apr 2015 07:13
Last Modified: 28 Mar 2019 15:37
URI: https://epub.uni-bayreuth.de/id/eprint/1991

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