Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Andrea Zanelli"'
Autor:
Andrea Zanelli
Publikováno v:
In_Bo, Vol 4, Iss 6, Pp 211-222 (2013)
At the end of the Nineties the Emilia-Romagna updates its twenty-year conservation and restoration policy launching the LR 19/98 on urban regeneration; then at the beginning of the Millennium among the first regions it legislate about architectural q
Externí odkaz:
https://doaj.org/article/36fb6430bbc34cde8ff839c59c1cba9e
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90f8637d1eaa73df970d08ecd5ee8725
https://doi.org/10.1109/cdc51059.2022.9992869
https://doi.org/10.1109/cdc51059.2022.9992869
Autor:
David Kiessling, Andrea Zanelli, Armin Nurkanovic, Joris Gillis, Moritz Diehl, Melanie Zeilinger, Goele Pipeleers, Jan Swevers
In this paper, we propose a Feasible Sequential Linear Programming (FSLP) algorithm applied to time-optimal control problems (TOCP) obtained through direct multiple shooting discretization. This method is motivated by TOCP with nonlinear constraints
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d5a7ee07e5a661f4bf4af2977763303
http://arxiv.org/abs/2205.00754
http://arxiv.org/abs/2205.00754
Publikováno v:
IFAC-PapersOnLine. 53:9093-9099
This paper proposes a novel nonlinear model predictive control approach for permanent magnet synchronous machines (PMSM). The optimization problem is formulated as a field oriented economic model predictive control (FO-EMPC) problem and therefore a t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b88ef15fdc25e888c12b4dce0e5bfdb
https://doi.org/10.1016/j.ifacol.2020.12.2143
https://doi.org/10.1016/j.ifacol.2020.12.2143
Publikováno v:
IFAC-PapersOnLine. 53:7041-7048
In this paper we study the contraction properties of the recently introduced Advanced Step Real-Time Iteration (AS-RTI) under active-set changes. Compared to the well-known Real-Time Iteration, in order to improve optimality, in the AS-RTI some extra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50b79f51b8475855bd30135f4bd53a45
https://doi.org/10.1016/j.ifacol.2020.12.449
https://doi.org/10.1016/j.ifacol.2020.12.449
Autor:
Moritz Diehl, Tobias Schoels, Tommaso Sartor, Andrea Zanelli, Gianluca Prison, Daniel Kloeser
Publikováno v:
IFAC-PapersOnLine. 53:14324-14329
This work presents the real-time control of 1:43 scale autonomous race cars using nonlinear model predictive control based on a singularity-free prediction model. This model allows the car to drive at both low and high speeds and in stop-and-go maneu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b419ea35d89c12d4f84c6d99db84aec2
https://doi.org/10.1016/j.ifacol.2020.12.1376
https://doi.org/10.1016/j.ifacol.2020.12.1376
Publikováno v:
IFAC-Papers
Robots have been operating in dynamic environments and shared workspaces for decades. Most optimization based motion planning methods, however, do not consider the movement of other agents, e.g. humans or other robots, and therefore do not guarantee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::429dda66c2c2543f790b22011edbd479
https://doi.org/10.1016/j.ifacol.2020.12.072
https://doi.org/10.1016/j.ifacol.2020.12.072
Publikováno v:
European Journal of Control, 68
Tube-based model predictive control (MPC) methods leverage tubes to bound deviations from a nominal trajectory due to uncertainties in order to ensure constraint satisfaction. This paper presents a novel tube‑based MPC formulation based on system l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87046d7f975914c02289e0550413331e
Publikováno v:
IFAC-PapersOnLine, 54 (6)
7th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2021)
7th IFAC Conference on Nonlinear Model Predictive Control (NMPC 2021)
In this paper, we propose an efficient zero-order algorithm that can be used to compute an approximate solution to robust optimal control problems (OCP) and robustified nonconvex programs in general. In particular, we focus on robustified OCPs that m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f3a0248637277f0eb61e742bbb0f64c