IEEE - Institute of Electrical and Electronics Engineers, Inc. - Reduced memory footprint in multiparametric quadratic programming by exploiting low rank structure

2016 IEEE 55th Conference on Decision and Control (CDC)

Author(s): Isak Nielsen ; Daniel Axehill
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2016
Conference Location: Las Vegas, NV, USA
Conference Date: 12 December 2016
Page(s): 3,654 - 3,661
ISBN (Electronic): 978-1-5090-1837-6
ISBN (DVD): 978-1-5090-1844-4
DOI: 10.1109/CDC.2016.7798819
Regular:

In multiparametric programming an optimization problem which is dependent on a parameter vector is solved parametrically. In control, multiparametric quadratic programming (mp-QP) problems have... View More

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