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 |
|---|---|
| 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 (IEEE) |
| ISBN (electronic) | 9781728129891 |
| Publication status | Published - 2021 |
| Peer-reviewed | Yes |
Publication series
| Series | International Conference on Emerging Technologies and Factory Automation (ETFA) |
|---|---|
| Volume | 2021-September |
| ISSN | 1946-0740 |
Conference
| Title | 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation |
|---|---|
| Abbreviated title | ETFA 2021 |
| Conference number | 26 |
| Duration | 7 - 10 September 2021 |
| Website | |
| Location | online |
| City | Vasteras |
| Country | Sweden |
Keywords
ASJC Scopus subject areas
Keywords
- Data analytics, Guided analytics, Modeling, Process identification