Process identification in practice: Software-supported modeling for controller design
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
In this paper, the authors deal with the questions of use case-oriented process identification. Based on a real world example, implementation problems such as experiment planning under real production conditions, data preparation and pre-processing, selection and application of an appropriate analysis technique as well as its result interpretation are discussed. A specialized software tool supports the key steps of the process identification and controller design. The advantages of a holistic software-supported approach of guided modeling and subsequent controller design to simplify the entire process are demonstrated.
Details
Original language | English |
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Title of host publication | Proceedings - 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (electronic) | 9781728129891 |
Publication status | Published - 2021 |
Peer-reviewed | Yes |
Publication series
Series | International Conference on Emerging Technologies and Factory Automation (ETFA) |
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Volume | 2021-September |
ISSN | 1946-0740 |
Conference
Title | 26th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2021 |
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Duration | 7 - 10 September 2021 |
City | Virtual, Vasteras |
Country | Sweden |
Keywords
ASJC Scopus subject areas
Keywords
- Data analytics, Guided analytics, Modeling, Process identification