The NNCTRL toolkit is a set of tools for design and simulation of neural network based control syste
Updated 14 Apr 2003

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Neural Network Based Control System Design Toolkit Version 2

The NNCTRL toolkit is a set of tools for design and simulation of control systems based on neural networks. The following designs are available:

o Direct inverse control
o Internal model control
o Control by feedback linearization
o Optimal control
o Control using instantanous linearization (includes approximate pole placement, approximate minimum variance and approximate GPC control)
o Nonlinear Predictive Control
o Nonlinear Feedforward Control

The toolkit is an add-on to the NNSYSID toolbox; a toolbox for nonlinear system identification with neural networks. This version of the NNCTRL toolkit requires MATLAB 5.3 or higher. It is an advantage if Simulink and the Control System Design Toolbox is available (but they are not required). A manual (~35 pages, pdf format) accompanies the toolbox. Additional information can be found on www.iau.dtu.dk/research/control/nnctrl.html

Cite As

Magnus Norgaard (2024). nnctrl (https://www.mathworks.com/matlabcentral/fileexchange/86-nnctrl), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R13
Compatible with any release
Platform Compatibility
Windows macOS Linux
Find more on Model Predictive Control Toolbox in Help Center and MATLAB Answers
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Version Published Release Notes

Minor fixes