Process Control Repository

This repository contains files and scripts related to process control concepts and applications. Below is a description of each file:

Usage

1. Clone the repository to your local machine.
2. Install the required dependencies using pip install -r requirements.txt.
3. Explore the scripts and notebooks to understand and simulate process control systems.
4. To run the final model, see final_model.ipynb.
5. To run a sample factory (static testing), see dmcExample.py.

File Descriptions

• README.md: This file provides an overview of the repository and describes the purpose of each file.

• requirements.txt: A list of Python dependencies required to run the scripts and notebooks in this repository.

Model

• final_model.ipynb: Final model to run.
  • intermediate_model.ipynb is between the baseline and final model.
• DMC_Env.py: Environment for SAC model
• DMC_Play.py: "Play" for SAC model
• sac.py: Contains the code for SAC model
• replay_buffer.py: Contains the replay buffer code

Data generation

• dmc.py: DMC_controller, which holds the "black-box" data for each DMC
• reward.py: Reward function
• structure.py: Contains the interface that the agent can speak to in order to get DMC

Visualization tools

• visualizationTools.py: Helpful functions for visualizing DMCs over time
• DMCview.md: auto-generated file to see the factory defined in dmcExample.py
• dmcExample.py: Please run this if you want to see the factory over time.