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Worst case vs. average performance estimates for unconstrained NMPC schemes
Author(s) -
Grüne Lars
Publication year - 2010
Publication title -
pamm
Language(s) - English
Resource type - Journals
ISSN - 1617-7061
DOI - 10.1002/pamm.201010296
Subject(s) - controllability , mathematics , model predictive control , control (management) , control theory (sociology) , computer science , mathematical optimization , artificial intelligence
We consider performance estimates for unconstrained NMPC schemes under a controllability assumption. By means of worst case and average estimates, we investigate the effect of varying control horizons on the performance and compare the results with numerical simulations. (© 2010 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)