Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Rien Quirynen"'
Publikováno v:
IEEE Access, Vol 12, Pp 55019-55032 (2024)
Path planning for a point-mass robot moving in a cluttered two-dimensional environment is a well studied but non-trivial problem. In this paper we propose a novel computationally efficient and resolution-complete path generation method based on elect
Externí odkaz:
https://doaj.org/article/3cb8a351025f4ede99541f8358527783
Publikováno v:
ACC
The branch-and-bound optimization algorithm for mixed-integer model predictive control (MI-MPC) solves several convex quadratic program relaxations, but often the solutions are discarded based on already known integer feasible solutions. This letter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f249fb6be442906d41489393002e094d
https://doi.org/10.1109/lcsys.2020.3038677
https://doi.org/10.1109/lcsys.2020.3038677
Autor:
Karl Berntorp, Rien Quirynen
Publikováno v:
IFAC-PapersOnLine. 54:76-82
Stochastic nonlinear model predictive control (SNMPC) allows to directly take model uncertainty into account, e.g., by including probabilistic chance constraints. This paper proposes linear-regression Kalman filtering to perform high-accuracy propaga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecec3cb05c346b9635022b9bf466157a
https://doi.org/10.1016/j.ifacol.2021.08.527
https://doi.org/10.1016/j.ifacol.2021.08.527
Autor:
Mohit Srinivasan, Ankush Chakrabarty, Rien Quirynen, Nobuyuki Yoshikawa, Toshisada Mariyama, Stefano Di Cairano
Publikováno v:
IFAC-PapersOnLine. 54:598-604
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52c36c1eec3d3a26edb75a10a373586e
https://doi.org/10.1016/j.ifacol.2021.11.237
https://doi.org/10.1016/j.ifacol.2021.11.237
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3af63a1701d2aa48bcfca48b9e473d63
https://doi.org/10.23919/acc53348.2022.9867523
https://doi.org/10.23919/acc53348.2022.9867523
Publikováno v:
2022 American Control Conference (ACC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d0e4c9ed5639555026ec936a3de1dff
https://doi.org/10.23919/acc53348.2022.9867802
https://doi.org/10.23919/acc53348.2022.9867802
Autor:
Abraham P. Vinod, Sleiman Safaoui, Ankush Chakrabarty, Rien Quirynen, Nobuyuki Yoshikawa, Stefano Di Cairano
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80c147a2f4ad8b2b463c125785aea21b
https://doi.org/10.1109/icra46639.2022.9812259
https://doi.org/10.1109/icra46639.2022.9812259
Autor:
Rien Quirynen, Stefano Di Cairano
Publikováno v:
Optimal Control Applications and Methods. 41:2282-2307
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01cd0cd30c706433951c003e971ec390
https://doi.org/10.1002/oca.2652
https://doi.org/10.1002/oca.2652
Publikováno v:
IFAC-PapersOnLine. 53:6529-6535
This paper presents a real-time algorithm for stochastic nonlinear model predictive control (NMPC). The optimal control problem (OCP) involves a linearization based covariance matrix propagation to formulate the probabilistic chance constraints. Our
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1faeb8806e2e5de92c9ab8b2a1b18048
https://doi.org/10.1016/j.ifacol.2020.12.068
https://doi.org/10.1016/j.ifacol.2020.12.068
Publikováno v:
IFAC-PapersOnLine. 53:6522-6528
Interior point methods are applicable to a large class of problems and can be very reliable for convex optimization, even without a good initial guess for the optimal solution. Active-set methods, on the other hand, are often restricted to linear or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cb244aeafbff44c83361b0d16f43a5c
https://doi.org/10.1016/j.ifacol.2020.12.067
https://doi.org/10.1016/j.ifacol.2020.12.067