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A DSP-Based Remote Control Laboratory

Hercog, Darko, Gergic, Bojan, Uran, Suzana, Jezernik, Karel·2007·IEEE Transactions on Industrial Electronics

Abstract

This paper presents a framework for rapid remote experiment implementation in the field of automatic control. The proposed solution is based on in-house developed embedded control hardware and two commercially available software packages. MATLAB/Simulink is used for rapid experiment control algorithm development, while LabVIEW is used for the user front-end and remote control. A combination of presented hardware and software solutions enables the rapid and easy creation of different interactive remote control experiments. Using this solution, a digital-signal-processor-based remote control laboratory for teaching purposes has been realized. This remote laboratory enables the remote users to easily interact with a set of physical control experiments through the Internet. In the friendly user interface, the remote user can change predefined system parameters and observe system response in textual, graphical, or video format. In addition, this remote laboratory includes a booking system, which enables remote users to book experiments in advance.

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Metadata

Authors
Hercog, D., Gergic, B., Uran, S., & Jezernik, K.
Venue
IEEE Transactions on Industrial Electronics
Published
2007-12
Volume
54
Issue
6
Pages
3057-3068
ISSN
0278-0046 (ISSN-L)
OpenAlex
W2104578900
Cited by
183
References
0
FWCI
68.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A DSP-Based Remote Control Laboratory. https://app.cochat.ai/papers/10.1109/tie.2007.907009
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Hercog, D., Gergic, B., Uran, S., & Jezernik, K. (2007). A DSP-Based Remote Control Laboratory. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2007.907009

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.