There are 5 repositories under process-control topic.
c common functions library extracted from my open source project FastDFS. this library is very simple and stable. functions including: string, logger, chain, hash, socket, ini file reader, base64 encode / decode, url encode / decode, fast timer, skiplist, object pool etc. detail info please see the c header files.
A C# DLL injection library
Collections of Studio 5000 AOIs, UDTs, general design patterns, and sample programs.
Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach
A sophisticated brewery control dashboard using node-red
Process Dynamics Engine (PDE) is an online, real-time simulator for process control models described by transfer functions or state space representations.
Classic problems in chemical engineering solved with matlab
A C# process filter driver example which was implemented with the Process Filter Driver SDK. The Process Filter Driver SDK is a kernel-mode driver that filters process/thread creation and termination, it provides you an easy way to develop Windows application for the Windows process monitoring and protection.
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
Reconstruction of several papers on the topic of steady-state detection/identification.
Hybrid machine learning framework for modelling and control of particle processes
pipex a simple rewrite of the standard |
Python library to analyze chemical and related process plants.
Advanced process control for AutomationLabs
beatflip - a minimal supervisor :fairy:
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.
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.
:house: Personal website, hosted on GitHub Pages :house:
This repo contains the Simulink models for the practical course Simulationstechnik in WS2021/22
Notes and slides created for video of STEM concept walkthroughs. Topics include surface and colloid science, chemical reaction engineering, process dynamics and control, and process design.
Conventional techniques such as LQR and TPBVP are implemented and results are compared with the advance control method 'MPC (Model Predictive Control)' on the Continuous Stirred Tank with two state variables and two manipulatives variables.
Aplicação de conceitos da disciplina de Controle de Processos.
Software and Hardware to Build and Program a PID Controller for a Miniature Thermal Chamber
Univariate Fast Initial Response Statistical Process Control with Taut Strings