Process Dynamics Engine (PDE) is an online, real-time simulator for process control models described by transfer functions or state space representations.
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Updated
Feb 16, 2019 - Python
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.
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.
Para Injeção de Codigos e DLL's em Processos
Hybrid machine learning framework for modelling and control of particle processes
Python library to analyze chemical and related process plants.
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.
DigiRail: Solución avanzada para el monitoreo y control industrial, enfocada en optimización de la producción a través de datos en tiempo real y análisis. Compatible con dispositivos Modbus
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.
基于强化学习的水位控制系统
Define a flow, fill with meaning and then run parallel and persistant jobs.
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.
Quality Control Charts in Python. Inspired by the R qcc package.
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