hilo-mpc/hilo-mpc
HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems
This tool helps control engineers and researchers design and implement advanced control systems, like Model Predictive Control (MPC) and state estimation, for dynamic processes. It takes in system models and desired control objectives, then outputs optimized control strategies and state predictions, often incorporating machine learning models. Chemical engineers, robotics specialists, and process control experts would find this valuable for managing complex systems.
199 stars. Available on PyPI.
Use this if you need to develop, test, and deploy sophisticated optimal control and estimation solutions, especially for nonlinear systems or those benefiting from machine learning integration.
Not ideal if you're looking for a simple, out-of-the-box PID controller or if you don't have a background in control theory and system modeling.
Stars
199
Forks
36
Language
Python
License
LGPL-3.0
Category
Last pushed
Mar 08, 2026
Commits (30d)
0
Dependencies
5
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