Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Matej Rajchl"'
Publikováno v:
Robotics, Vol 10, Iss 3, p 88 (2021)
We study two nilpotent affine control systems derived from the dynamic and control of a vertical rolling disc that is a simplification of a differential drive wheeled mobile robot. For both systems, their controllable Lie algebras are calculated and
Externí odkaz:
https://doaj.org/article/46308227aaf4420c92d2dc2bbbf12a55
Publikováno v:
2022 20th International Conference on Mechatronics - Mechatronika (ME).
Publikováno v:
Modelling and Simulation for Autonomous Systems ISBN: 9783030982591
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cfb6587f46a403f48dd33fddde66f2f
https://doi.org/10.1007/978-3-030-98260-7_8
https://doi.org/10.1007/978-3-030-98260-7_8
Publikováno v:
Modelling and Simulation for Autonomous Systems ISBN: 9783030707392
MESAS
MESAS
This paper deals with optimal control of the Dubins car model, whose configuration space is three dimensional smooth manifold. There are computed vector fields that generate solvable Lie algebra isomorphically equivalent to tangent space in each poin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a068b6a9236230ee015fc2f4b9de18ea
https://doi.org/10.1007/978-3-030-70740-8_7
https://doi.org/10.1007/978-3-030-70740-8_7
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030299927
Single mass MEMS gyroscopes are sensitive to different operating conditions, such as temperature or acceleration of the sensor body. This paper deals with the design of a model that is able to compensate for the propagation of sensor body acceleratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22fd018985ecf09f8a278ad45aa9d356
https://doi.org/10.1007/978-3-030-29993-4_35
https://doi.org/10.1007/978-3-030-29993-4_35
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030299927
Simulation models which are of high order or are automatically generated via modelling software are usually depended on high number of unknown parameters. In this paper we present a method for detecting correlation between these parameters and identi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d54a4b6184776bd55cfaae551062e37
https://doi.org/10.1007/978-3-030-29993-4_7
https://doi.org/10.1007/978-3-030-29993-4_7