Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Martin Gulan"'
Publikováno v:
Sensors, Vol 24, Iss 2, p 538 (2024)
This article presents an open-source device illustrating the well-known magnetic levitation experiment. The uniqueness of this particular device lies in its exceptionally small dimensions, affordability and availability, which makes it a perfect desi
Externí odkaz:
https://doaj.org/article/541a5d7cb5c84d4695385166028ff323
Publikováno v:
Actuators, Vol 12, Iss 9, p 343 (2023)
This paper presents a unified control scheme of the Pendubot based on nonlinear model predictive control (NMPC) and nonlinear moving horizon estimation (NMHE) with the objective of point-to-point tracking its unstable unforced and ultimately forced e
Externí odkaz:
https://doaj.org/article/d3c401b5a74a4faab9bb329f8fa516ef
Publikováno v:
Sensors, Vol 23, Iss 9, p 4463 (2023)
This paper investigates one way to reduce the computational burden of continuous-time model predictive control (MPC) laws by representing the input/output signals and related models using B-spline functions. Such an approximation allows to implement
Externí odkaz:
https://doaj.org/article/a6513457cbcc4b9e951edc37db05c5f8
Publikováno v:
Sensors, Vol 22, Iss 4, p 1621 (2022)
Digital twin (DT) is an emerging key technology that enables sophisticated interaction between physical objects and their virtual replicas, with applications in almost all engineering fields. Although it has recently gained significant attraction in
Externí odkaz:
https://doaj.org/article/c120f6f78f8947109320ec22c9d01b11
Publikováno v:
Sensors, Vol 21, Iss 1, p 160 (2020)
Gathering data and monitoring performance are at the heart of energy efficiency and comfort securing strategies in smart buildings. Therefore, it is crucial to present the obtained data to the user or administrator of such a building in an appropriat
Externí odkaz:
https://doaj.org/article/3c285c7f6f4f4651af7b41be84ee8065
Publikováno v:
Processes, Vol 10, Iss 83, p 83 (2022)
Processes; Volume 10; Issue 1; Pages: 83
Processes; Volume 10; Issue 1; Pages: 83
Linear system identification is a well-known methodology for building mathematical models of dynamic systems from observed input–output data. It also represents an essential tool for model-based control design, adaptive control and other advanced c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::793bb78ec72ed3b69f4990e5678a3ada
https://www.mdpi.com/2227-9717/10/1/83
https://www.mdpi.com/2227-9717/10/1/83
Publikováno v:
IFAC-PapersOnLine. 53:7013-7019
This paper presents a continuous-time model predictive control scheme based on B-spline functions used for signals and model approximation. The proposed controller offers two interesting advantages. First, it formulates the control signal as a contin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f455604bb035a4538e045e094037e7f8
https://doi.org/10.1016/j.ifacol.2020.12.442
https://doi.org/10.1016/j.ifacol.2020.12.442
Autor:
Miloš Podbielančík, Erik Mikulas, Dávid Šroba, Peter Šálka, Martin Gulan, Marcel Vdoleček, Peter Chmurčiak, Martin Lucan, Gábor Penzinger, Jakub Kulhanek, Gergely Takács
Publikováno v:
IFAC-PapersOnLine. 53:17288-17295
A novel reference design for an air levitation system to teach control engineering and mechatronics is introduced. The device is built as a swappable and compact extension shield for Arduino embedded microcontroller prototyping boards. The fully docu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ddaf6500a828e40dd049a3f284dfc1b
https://doi.org/10.1016/j.ifacol.2020.12.1807
https://doi.org/10.1016/j.ifacol.2020.12.1807
Publikováno v:
Sensors; Volume 22; Issue 4; Pages: 1621
Digital twin (DT) is an emerging key technology that enables sophisticated interaction between physical objects and their virtual replicas, with applications in almost all engineering fields. Although it has recently gained significant attraction in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43d2a1192bffb970541630f3b3141511
https://pubmed.ncbi.nlm.nih.gov/35214522
https://pubmed.ncbi.nlm.nih.gov/35214522
Autor:
Martin Juhás, Martin Gulan, Luís Neto, Gil Gonçalves, Titanilla Komenda, Laurenz Pickel, Shiyang Zhou, Claudia Schickling, Milan Lokšík, Martin Morháč
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a3fdf4b6af3c57482485840ca59da00
https://doi.org/10.2139/ssrn.4071842
https://doi.org/10.2139/ssrn.4071842