A tutorial review of machine learning-based model predictive control methods

HIGHLIGHTS

• What: Discussions on data generation, model training, and model incorporation into MPC will not be Z. Wu et_al: Machine learning-based model predictive control covered in this review as an in-depth review has been provided in_(Ren et_al 2022). The parameter transfer approach aims to transfer knowledge by sharing the model parameters of the source with the target domain. The authors provide an example of enforcing input convexity in FNNs. Following this, the authors show several novel designs of ML-MPCs that enhance computational efficiency, process operational safety, and cybersecurity.
• Who: Zhe Wu from . . .
  

   

  

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