Advanced Control and Learning in Manufacturing
A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).
Deadline for manuscript submissions: closed (30 September 2021)
Special Issue Editor
Interests: data-driven process optimization; optimization-based control for precision machining; control approaches for additive manufacturing
Special Issue Information
Dear Colleagues,
We would like to draw your attention to this Special Issue of JMMP on “Advanced Control and Learning in Manufacturing”.
The future of manufacturing is shaped by integrating data-driven insights and approaches throughout the manufacturing process chain. The available sensor data collected at multiple stages enable new data-driven or learning-based methods in automation, optimization, and control of industrial manufacturing systems. This new data-based intelligence opens up new possibilities for scaling of the production processes, and new operational models, based on individualized or streamlined production.
This Special Issue on “Control and Learning in Manufacturing” focuses on contributions that detail new developments and enhance the understanding and integration of data-driven approaches to manufacturing applications. The topics of interest include (but are not limited to):
- Data-driven methods for the optimization of manufacturing processes;
- Predictive control algorithms applied to manufacturing;
- Iterative learning control;
- Intelligent sensing;
- Cyberphysical systems models suitable for model-based control approaches;
- Anomaly detection in cyberphysical systems;
- Quality prediction methods in manufacturing.
I very much look forward to your contributions.
Dr. Alisa Rupenyan
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Manufacturing and Materials Processing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data-driven optimization
- Bayesian models
- iterative learning control
- system identification for manufacturing
- additive manufacturing
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