Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Signe Moe"'
Publikováno v:
Modeling, Identification and Control, Vol 41, Iss 2, Pp 41-49 (2020)
In this paper surge control in a compression system using a close-coupled valve (CCV) is proposed. The control design is based on Lyapunov control theory in combination with neural networks (NNs) and focuses on minimization of loss of energy in the c
Externí odkaz:
https://doaj.org/article/cd1174410d6d49fba2217589ad7975c9
Autor:
Eleni Kelasidi, Signe Moe, Kristin. Y. Pettersen, Anna M. Kohl, Pål Liljebäck, Jan Tommy Gravdahl
Publikováno v:
Frontiers in Robotics and AI, Vol 6 (2019)
The use of unmanned underwater vehicles is steadily increasing for a variety of applications such as mapping, monitoring, inspection and intervention within several research fields and industries, e.g., oceanography, marine biology, military, and oil
Externí odkaz:
https://doaj.org/article/d92bc1694db54bf5b8267b565107832e
Publikováno v:
Journal für Entwicklungspolitik. 38:8-37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdfb8de8a8ed15000b31a50142729bd9
https://doi.org/10.20446/jep-2414-3197-38-2-8
https://doi.org/10.20446/jep-2414-3197-38-2-8
Publikováno v:
Engineering Applications of Artificial Intelligence. 123:106211
Model predictive control (MPC) is increasingly being considered for control of fast systems and embedded applications. However, the MPC has some significant challenges for such systems. Its high computational complexity results in high power consumpt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::492255636f2eab94d3fea9e2a5cd8e51
https://doi.org/10.1016/j.engappai.2023.106211
https://doi.org/10.1016/j.engappai.2023.106211
Publikováno v:
IFAC-PapersOnLine. 54:257-262
In control applications there is often a compromise that needs to be made with regards to the complexity and performance of the controller and the computational resources that are available. For instance, the typical hardware platform in embedded con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fc8bf3a84abd2c135603a6c566c9aaa
https://doi.org/10.1016/j.ifacol.2021.10.362
https://doi.org/10.1016/j.ifacol.2021.10.362
Publikováno v:
IFAC-PapersOnLine. 54:314-320
Model predictive control (MPC) is a powerful trajectory optimization control technique capable of controlling complex nonlinear systems while respecting system constraints and ensuring safe operation. The MPC's capabilities come at the cost of a high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2c64dc7f757ae41d364c2f6495a7e95
https://doi.org/10.1016/j.ifacol.2021.08.563
https://doi.org/10.1016/j.ifacol.2021.08.563
Publikováno v:
IFAC-PapersOnLine. 53:8090-8096
Reinforcement learning in domains with sparse rewards is a difficult problem, and a large part of the training process is often spent searching the state space in a more or less random fashion for learning signals. For control problems, we often have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c6c5f9faf13dfb28c626c37d0f8816
https://doi.org/10.1016/j.ifacol.2020.12.2278
https://doi.org/10.1016/j.ifacol.2020.12.2278
Publikováno v:
IFAC-PapersOnLine. 53:10044-10051
Additive manufacturing (AM) is a term that covers a variety of techniques for building custom-made, three dimensional structures. Such methods have moved from initially being used for creating simplified models to enable visualising of a product in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f72ce5310ca7dd2b04100f23d2a45562
https://doi.org/10.1016/j.ifacol.2020.12.2725
https://doi.org/10.1016/j.ifacol.2020.12.2725
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031105241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e0d757a88e5ac3ad2b70e7d7b019fdd
https://doi.org/10.1007/978-3-031-10525-8_6
https://doi.org/10.1007/978-3-031-10525-8_6
Autor:
Linn Danielsen Evjemo, Geir Langelandsvik, Signe Moe, Morten Høgseth Danielsen, Jan Tommy Gravdahl
Publikováno v:
CIRP-Journal of Manufacturing Science and Technology
As additive manufacturing (AM) technology grows both more advanced and more available, the challenges and limitations are also made more evident. Most existing solutions for AM build structures layer by layer using strictly vertical material depositi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4228afb8d9a6a7e015d58a8a5ce9963
https://hdl.handle.net/11250/3021595
https://hdl.handle.net/11250/3021595