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pro vyhledávání: '"Alessandro Ravera"'
In this work, a nonlinear model predictive control is proposed for a DC-DC boost converter, with a partially-saturating ferrite-core inductor. A nonlinear behavioral inductor model is exploited, identified through experimental measurements, which tak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dd3ed3a833b90e6d9a9c90a856a291c
https://doi.org/10.22541/au.168423675.57326919/v1
https://doi.org/10.22541/au.168423675.57326919/v1
Autor:
Alessandro Ravera, Alberto Oliveri, Matteo Lodi, Alberto Bemporad, W. P. M. H. Heemels, Eric C. Kerrigan, Marco Storace
Several software tools are available in the literature for the design and embedded implementation of linear model predictive control (MPC), both in its implicit and explicit (either exact or approximate) forms. Most of them generate C code for easy i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c27c4fb109fb8ea2444e3abf98d1c95
http://hdl.handle.net/10044/1/103412
http://hdl.handle.net/10044/1/103412
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031162800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b88c05da18e515db9d47936befef8145
https://doi.org/10.1007/978-3-031-16281-7_9
https://doi.org/10.1007/978-3-031-16281-7_9
Publikováno v:
ICECS
In this paper we apply the derivative-free mesh adaptive direct search (MADS) algorithm to find the minimum of a constrained optimization problem, resulting from model predictive control (MPC). MPC requires indeed to solve an optimization problem onl