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https://github.com/byu-prism/transformer_mpc

https://github.com/byu-prism/transformer_mpc

Science Score: 23.0%

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    Found 1 DOI reference(s) in README
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    Links to: sciencedirect.com
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    Low similarity (4.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: BYU-PRISM
  • License: mit
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 201 MB
Statistics
  • Stars: 35
  • Watchers: 7
  • Forks: 7
  • Open Issues: 1
  • Releases: 0
Created almost 5 years ago · Last pushed almost 3 years ago

https://github.com/BYU-PRISM/Transformer_MPC/blob/main/ 

# Transformer_MPC
Hybrid Machine Learning and Physics-based model for Process Control and Optimization 

![pinn_off](https://user-images.githubusercontent.com/14016976/170394922-b8bd4c92-9ae3-4991-8fa4-3781126f8edf.gif)

![pinn_on](https://user-images.githubusercontent.com/14016976/170394935-c283dc3a-665f-4e18-b0ca-57ec417da445.gif)

https://user-images.githubusercontent.com/14016976/170841785-406caf62-722c-4b80-9f62-167ff5d694d6.mp4

Folders:

**01_Emulation**: LSTM MPC Emulation. Additional details are available with [PID emulation](https://apmonitor.com/pds/index.php/Main/LSTMAutomation) and [MPC emulation](https://apmonitor.com/do/index.php/Main/LSTMNetwork).

**02_Surrogate**: All case studies in the paper referenced below including the FOPDT, fluidized bed roaster for gold ore refinement, and Temperature Control Lab hardware. The fluidized is a case study in the paper to emulate MPC on a complex nonlinear process. For additional information see:

  > Park, J., Babaei, M.R., Arce Munoz, S., Venkat, A.N., Hedengren, J.D., Simultaneous Multistep Transformer Architecture for Model Predictive Control, Computers & Chemical Engineering, 2023, DOI 10.1016/j.compchemeng.2023.108396 [Article](https://www.sciencedirect.com/science/article/abs/pii/S0098135423002661) | [Preprint](https://apm.byu.edu/prism/uploads/Members/2023_Transformer_MPC.pdf)

**03_HybridModel**: Hybrid physics-based and machine learned (Transformer) case study with the [Temperature Control Lab](https://apmonitor.com/heat.htm).
For additional details, see the [PhD Dissertation of Junho Park](https://scholarsarchive.byu.edu/etd/9759/).

Owner

  • Name: BYU PRISM
  • Login: BYU-PRISM
  • Kind: organization
  • Email: support@apmonitor.com
  • Location: Brigham Young University, Provo, UT

Process Research and Intelligent Systems Modeling

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