Zobrazeno 1 - 10
of 735
pro vyhledávání: '"HANSSON, ANDERS"'
This paper introduces a novel direct approach to system identification of dynamic networks with missing data based on maximum likelihood estimation. Dynamic networks generally present a singular probability density function, which poses a challenge i
Externí odkaz:
http://arxiv.org/abs/2311.00369
This paper studies the time-optimal path tracking problem for a team of cooperating robotic manipulators carrying an object. Considering the problem for rigidly grasped objects, we show that it can be cast as a convex optimization problem and solved
Externí odkaz:
http://arxiv.org/abs/2303.07039
Publikováno v:
In Energy Research & Social Science July 2024 113
Autor:
Egidio, Lucas N., Hansson, Anders
One of the main aspects of switched affine systems that makes their stabilizability study intricate is the existence of (generally) infinitely many equilibrium points in the state space. Thus, prior to designing the switched control, the user must sp
Externí odkaz:
http://arxiv.org/abs/2101.03825
Publikováno v:
In Heliyon 29 February 2024 10(4)
Publikováno v:
In European Journal of Control January 2024 75
We consider the problem of how to learn a step-size policy for the Limited-Memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm. This is a limited computational memory quasi-Newton method widely used for deterministic unconstrained optimization
Externí odkaz:
http://arxiv.org/abs/2010.01311
This paper investigates the use of nonparametric kernel-regression to obtain a tasksimilarity aware meta-learning algorithm. Our hypothesis is that the use of tasksimilarity helps meta-learning when the available tasks are limited and may contain out
Externí odkaz:
http://arxiv.org/abs/2006.07212
Publikováno v:
In European Journal of Control March 2023 70
Autor:
Hansson, Anders
Cutting operations are important and commonly used operations in the field of manufacturing. Automated machining is today commonly used in CNC-machines. One common drawback with automated machining is that the tool condition is challenging to predict
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:hv:diva-10335