Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Ivan Sekaj"'
Publikováno v:
Mendel, Vol 27, Iss 2 (2021)
Artificial neural networks are means which are, among several other approaches, effectively usable for modelling and control of non-linear dynamic systems. In case of modelling systems input and output signals are a-priori known, supervised learning
Externí odkaz:
https://doaj.org/article/0019ea214cf241a499d26140b3e31670
Publikováno v:
Mendel, Vol 25, Iss 1 (2019)
We present a neuro-evolution design for control of a mobile robot in 2D simulation environment. The mobile robot is moving in unknown environment with obstacles from the start position to the goal position. The trajectory of the robot is controlled b
Externí odkaz:
https://doaj.org/article/ad22c14822bd4e5abfdec3267661e27b
Publikováno v:
2022 Cybernetics & Informatics (K&I).
Autor:
Martin Ernek, Ivan Sekaj
Publikováno v:
Journal of Electrical Engineering. 70:46-51
The contribution presents the use of Genetic Algorithm for searching of the optimal parameters of a set of speed controllers of an isolated power-electricity island. Nine PI-controllers are designed. The cost function which is minimised using the Gen
Publikováno v:
Robotics and Autonomous Systems. 148:103912
Even if pencil drawing is the basic method of human artistic expression, it remains at the forefront of scientific attention in the field of robotics, which focuses mainly on painting. Although various methods of artistic robotic drawing have been de
Publikováno v:
Mendel. 2018 vol. 25, č. 1, s. 39-42. ISSN 1803-3814
Mendel, Vol 25, Iss 1 (2019)
Mendel, Vol 25, Iss 1 (2019)
We present a neuro-evolution design for control of a mobile robot in 2D simulation environment. The mobile robot is moving in unknown environment with obstacles from the start position to the goal position. The trajectory of the robot is controlled b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f395e4c9b527400310e44ec6955554da
https://hdl.handle.net/11012/186979
https://hdl.handle.net/11012/186979
Publikováno v:
Archives of Control Sciences, Vol 24, Iss 3, Pp 333-349 (2014)
This paper presents a gain scheduled controller design for MIMO and SISO systems in the frequency domain using the genetic algorithms approach. The proposed method is derived from the M-delta structure of closed loop MIMO (SISO) systems and the small
Publikováno v:
IFAC Proceedings Volumes. 47:6982-6987
An evolutionary computation - based design/optimisation approach using the Cartesian Genetic Programming is proposed for non-linear continuous-time process control. It is a simplification of a more general Genetic Programming – based design, which
Autor:
Peter Balis, Josef Zicha, Miroslava Majzunova, Iveta Bernatova, Ivan Sekaj, Michal Behuliak, Slavomir Kajan, Stanislav Števo
Publikováno v:
Scopus-Elsevier
Blood pressure (BP) is one of the principal vital signs. The regulation of normal BP is critical for maintaining the normal functioning of an organism. The structure of the BP regulation in vertebrates, including humans, is very complex and it is not
Publikováno v:
2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES).
We propose an optimisation method for parameter setting of a MRAC-based adaptive controller of blood glucose (glycemia) in the human body. The glycemia dynamics is a complex process, which can be controlled by external bio-cybernetic devices as Artif