Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Lars Mikelsons"'
Autor:
Yi Zhang, Lars Mikelsons
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 10, Iss 1, Pp 1-28 (2023)
Abstract Calibration of complex system models with a large number of parameters using standard optimization methods is often extremely time-consuming and not fully automated due to the reliance on all-inclusive expert knowledge. We propose a sensitiv
Externí odkaz:
https://doaj.org/article/490f484dd2f04691bf7b00831de6a97a
Autor:
Peter Fritzson, Adrian Pop, Karim Abdelhak, Adeel Ashgar, Bernhard Bachmann, Willi Braun, Daniel Bouskela, Robert Braun, Lena Buffoni, Francesco Casella, Rodrigo Castro, Rüdiger Franke, Dag Fritzson, Mahder Gebremedhin, Andreas Heuermann, Bernt Lie, Alachew Mengist, Lars Mikelsons, Kannan Moudgalya, Lennart Ochel, Arunkumar Palanisamy, Vitalij Ruge, Wladimir Schamai, Martin Sjölund, Bernhard Thiele, John Tinnerholm, Per Östlund
Publikováno v:
Modeling, Identification and Control, Vol 41, Iss 4, Pp 241-295 (2020)
OpenModelica is a unique large-scale integrated open-source Modelica- and FMI-based modeling, simulation, optimization, model-based analysis and development environment. Moreover, the OpenModelica environment provides a number of facilities such as d
Externí odkaz:
https://doaj.org/article/d3190df0cbe443b981c9357baaf608dd
Publikováno v:
Sensors, Vol 22, Iss 14, p 5408 (2022)
In micro-electro-mechanical systems (MEMS) testing high overall precision and reliability are essential. Due to the additional requirement of runtime efficiency, machine learning methods have been investigated in recent years. However, these methods
Externí odkaz:
https://doaj.org/article/88cfbf866961477bb53f798eb9eb40c6
Autor:
Yi Zhang, Lars Mikelsons
Calibration of complex system models with a large number of parameters using standard optimization methods is often extremely time-consuming and not fully automated due to the reliance on all-inclusive expert knowledge. We propose a sensitivity-guide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abd08e9b661e66bc6bff666f4c2e9c9a
https://doi.org/10.21203/rs.3.rs-1898389/v1
https://doi.org/10.21203/rs.3.rs-1898389/v1
Publikováno v:
ITSC
Imitation learning on real-world data has the potential to improve the simulation of real-world traffic. However, learning from human demonstrations can be challenging since the recorded behavior is typically noisy and multimodal. Most policies used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89701246acf9484f16d0435f8355cb2f
https://doi.org/10.1109/itsc48978.2021.9564456
https://doi.org/10.1109/itsc48978.2021.9564456
Publikováno v:
Electronics; Volume 11; Issue 19; Pages: 3202
The term NeuralODE describes the structural combination of an Artificial Neural Network (ANN) and a numerical solver for Ordinary Differential Equations (ODE), the former acts as the right-hand side of the ODE to be solved. This concept was further e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1874c1af56731f2e5c505f6a78b1919d
https://doi.org/10.3390/electronics11193202
https://doi.org/10.3390/electronics11193202
Publikováno v:
Parallel Manipulators, New Developments
In this chapter, the analysis and design of wire robots was discussed. The required basics like kinematics and the force equilibrium - which is the one of the main workspace criteria were introduced as well as serveral classification approaches. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::885940157a97743622b0ac694e29f934
http://www.intechopen.com/articles/show/title/wire_robots_part_i__kinematics__analysis___design
http://www.intechopen.com/articles/show/title/wire_robots_part_i__kinematics__analysis___design
This paper covers two major subjects: First, the presentation of a new open-source library called FMI.jl for integrating FMI into the Julia programming environment by providing the possibility to load, parameterize and simulate FMUs. Further, an exte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b98eb2dd0e6c51aef2c7e0d6c1d3482
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/89587
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/89587
Autor:
Lars Mikelsons, Frederic Bruder
During the process of modelling an existing dynamic physical system, it may be hard to capture some of the phenomena exactly on the basis of only textbook-equations. With measurement data from the real system, approximators like artificial neural net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99271dc0787b9f3311e6b28a49e5f912
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/89588
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/89588
Hybrid modeling, the combination of first principle and machine learning models, is an emerging research field that gathers more and more attention. Even if hybrid models produce formidable results for academic examples, there are still different tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2c6d3811eef6502dcb456544c1ac5bf
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91138
https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91138