Policy learning for real-time control of digital twins in additive manufacturing via Differentiable Predictive Control using multi-step time-series deep neural networks
Policy learning for real-time control of digital twins in additive manufacturing via Differentiable Predictive Control using multi-step time-series deep neural networks, Lee, Seul, Chen, Yi-Ping, Tsai, Ying-Kuan, Karkaria, Vispi, Chen, Wei
Authors
- Vispi Nevile Karkaria (ORCID: https://orcid.org/0000-0003-3733-2415)
- Yi-Ping Chen (ORCID: https://orcid.org/0000-0002-9231-0860)
- Wei Chen (ORCID: https://orcid.org/0000-0002-4653-7124)
- Ying-Kuan Tsai (ORCID: https://orcid.org/0009-0005-8853-2216)
- Seul Lee (ORCID: https://orcid.org/0009-0006-1820-5129)
Institutions
- Northwestern University (US)
Publication Details
- Journal
- Machine Learning Engineering
- Published
- 2026-11-11
- DOI
- https://doi.org/10.1088/3049-4761/aec0a2
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00