process-control

This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning by X. Zhang, K. Zhang, Z. Li, and X. Yin. The objective of this work is to learn the DeePC operator using a neural network and bypass online optimization of conventional DeePC for efficient online implementation.

Process Dynamics Engine (PDE) is an online, real-time simulator for process control models described by transfer functions or state space representations.

PyChemEngg is a python-based framework to promote problem solving and critical thinking in chemical engineering.

Course repository for learning R or Python for Cornell course SYSEN 5300: Systems Engineering and Six Sigma for the Design and Operation of Reliable Systems

Pectus is a process control system for Unit Operations such as filtration, chromatography, precipitation, solubilization and refolding. Pectus implements a language called P-code which is used to write methods and control components on the Unit Operation.

Advisory water treatment for industrial cooling towers: risk indices, anomaly detection, forecasting and dose recommendations. A human authorizes every dose.

Para Injeção de Codigos e DLL's em Processos

Python library to analyze chemical and related process plants.

Quality Control Charts in Python. Inspired by the R qcc package.

Early open scaffold for industrial world models and qualification-oriented manufacturing decision systems.

Hybrid machine learning framework for modelling and control of particle processes

CHEMON - 化工过程多智能体整体编排系统 | A multi-agent collaborative system for chemical process control

In this project, we have to maintain the output Temperature and Concentration of a system that contains two CSTR reactors using Python. All the description and theorem are available in the readme file.

TEP Studio — a schema-driven Python simulator for the modified Tennessee Eastman Process (fixed-step RK4 integrator, decentralized control, Gymnasium env, dataset tooling, web Studio).

Industrial IoT architecture for tubular furnace monitoring using ESP32, MQTT, OLED display and MicroPython in Wokwi.

A Gymnasium platform for process simulation, classical and RL control, and benchmarking.

Multi-agent RL for wastewater treatment plant control (BSM2/Simulink) — MSc Thesis

Simulation-based safe reinforcement learning framework for energy-efficient distillation control using Aspen Plus, surrogate modeling and FOPDT dynamics.

provides production-grade implementations of the psychrometric equations, steady-flow energy and mass balances, and PI controller tuning methods used in industrial cooling tower design and lab analysis. It covers the full pipeline from raw temperature measurements to engineered control parameters.

PPO-LSTM agent replacing PID control on a simulated MEA CO2-capture plant, using a neural surrogate for real-time control.