A predictive control solver for low-precision data representation

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dc.contributor.author Longo, Stefano
dc.contributor.author Kerrigan, Eric C.
dc.contributor.author Constantinides, George A.
dc.date.accessioned 2016-10-26T16:04:48Z
dc.date.available 2016-10-26T16:04:48Z
dc.date.issued 2013-07-22
dc.identifier.citation Longo, S., Kerrigan, E. C., Constantinides, G. A. (2013) A predictive control solver for low-precision data representation, European Control Conference 2013 (ECC'13), 16-19 July 2013, Zurich, Switzerland en_UK
dc.identifier.uri http://cas.ee.ic.ac.uk/people/gac1/pubs/StefanoECC13.pdf
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/10882
dc.description.abstract We propose a method to efficiently exploit the non- standard number representation of some embedded computer architectures for the solution of constrained LQR problems. The resulting quadratic programming problem is formulated to include auxiliary decision variables as well as the inputs and states. The new formulation introduces smaller roundoff errors in the optimization solver, hence allowing one to trade off the number of bits used for data representation against speed and/or hardware resources. Interestingly, because of the data dependencies of the operations, the algorithm complexity (in terms of computation time and hardware resources) does not increase despite the larger number of decision variables. en_UK
dc.language.iso en en_UK
dc.publisher Institute of Electrical and Electronics Engineers en_UK
dc.rights (c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works en_UK
dc.rights Published by Institute of Electrical and Electronics Engineers. This is the Author Accepted Manuscript. This article may be used for personal use only. The final published version (version of record) is available online at http://cas.ee.ic.ac.uk/people/gac1/pubs/StefanoECC13.pdf. Please refer to any applicable publisher terms of use. en_UK
dc.title A predictive control solver for low-precision data representation en_UK
dc.type Conference paper en_UK


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