Editing Model predictive control (section)

==MPC software==

Commercial MPC packages are available and typically contain tools for [[model identification]] and analysis, controller design and tuning, as well as controller performance evaluation.
[https://www.scribd.com/doc/16955545/MPC-CEP-Qin-Badgwell A survey of commercially available packages] has been provided by S.J. Qin and T.A. Badgwell in ''Control Engineering Practice'' 11 (2003) 733–764.

Freely available open-source software packages for (nonlinear) model predictive control include among others:

* [https://gitlab.kuleuven.be/meco-software/rockit Rockit] (Rapid Optimal Control kit) — a software framework to quickly prototype optimal control problems.
* [https://docs.acados.org/index.html acados] — a software framework providing fast and embedded solvers for nonlinear optimal control.
* [https://sourceforge.net/projects/grampc/ GRAMPC] — a nonlinear MPC framework that is suitable for dynamical systems with sampling times in the (sub)millisecond range and that allows for an efficient implementation on embedded hardware.
* [https://github.com/DanielMartensson/CControl CControl] - a controll engineering linear algebra library with MPC and kalman filtering for embedded and low cost microcontrollers