Eric-Bradford/SDD-GP-MPC
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
This project provides a model predictive control algorithm for managing complex industrial processes, like bioprocesses, where conditions are uncertain. It takes historical process data and desired operational targets as input to generate robust control strategies that ensure safety and performance. The primary users are control engineers or process operators in manufacturing, chemical engineering, or biotechnology.
No commits in the last 6 months.
Use this if you need to reliably control semi-batch processes or other dynamic systems under uncertainty, while ensuring that critical operational constraints are always met.
Not ideal if you are looking for a simple, off-the-shelf PID controller for a process with stable and predictable dynamics.
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Language
Python
License
MIT
Category
Last pushed
Apr 09, 2023
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