Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems
<|reference_start|>Deep Koopman-based Control of Quality Variation in Multistage Manufacturing Systems: This paper presents a modeling-control synthesis to address the quality control challenges in multistage manufacturing systems (MMSs). A new feedforward control scheme is developed to minimize the quality variations caused by process disturbances in MMSs. Notably, the control framework leverages a stochastic deep Koopman (SDK) model to capture the quality propagation mechanism in the MMSs, highlighted by its ability to transform the nonlinear propagation dynamics into a linear one. Two roll-to-roll case studies are presented to validate the proposed method and demonstrate its effectiveness. The overall method is suitable for nonlinear MMSs and does not require extensive expert knowledge.<|reference_end|>
@article{chen2024deep,
    title={Deep Koopman-based Control of Quality Variation in Multistage
  Manufacturing Systems},
    author={Zhiyi Chen, Harshal Maske, Devesh Upadhyay, Huanyi Shui, Xun Huan, Jun
  Ni},
    journal={arXiv preprint arXiv:2407.16933},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.16933},
    primaryClass={eess.SY cs.LG cs.SY}
}