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.

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.

Para Injeção de Codigos e DLL's em Processos

Hybrid machine learning framework for modelling and control of particle processes

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

Python library to analyze chemical and related process plants.

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.

Statistical control chart analyzer using Western Electric Rules in Python

Run multiple Open Pectus engines in a convenient user interface.

Machine Learning in Process Control

Advanced ROM collection cleanup tool with API integration, process control, and enhanced region detection.

This project is the application of Deep Reinforcement Learning to the Atari game Breakout. I desinged the game from scrach and then I created a deep reinforcement learning solution and applied it to learn how to play the game.

基于强化学习的水位控制系统

Yet Another Process Controller - PID like conroller

A safety orchestrator for Autonomous Agents. Prevents infinite loops and destructive system calls (rm -rf) by enforcing a "Think-Plan-Act" state machine (H.E.L.M.).

A Python application to manage system processes. The app provides functionality to list, kill, and manage processes based on their PID (Process ID) or name. It also includes features to monitor system resources and shutdown the system.

Define a flow, fill with meaning and then run parallel and persistant jobs.