deng-haoyang/ParNMPC

A Parallel Optimization Toolkit for Nonlinear Model Predictive Control (NMPC)

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Established

This toolkit helps engineers and researchers design and deploy advanced control systems for dynamic processes. You can define a nonlinear model predictive control (NMPC) problem in MATLAB, and it generates efficient C/C++ code for real-time operation on single or multi-core CPUs. It's for control engineers, robotics engineers, or automation specialists working with high-speed, precise control applications.

322 stars. No commits in the last 6 months.

Use this if you need to implement fast, robust, and custom nonlinear model predictive control solutions and generate high-performance C/C++ code directly from your MATLAB definitions.

Not ideal if you do not have access to MATLAB or its required toolboxes, or if your control problems are simple enough for standard PID or linear control methods.

control-systems robotics real-time-control process-automation embedded-control
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

322

Forks

84

Language

MATLAB

License

BSD-2-Clause

Last pushed

Sep 16, 2025

Commits (30d)

0

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