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
Magnus Norgaard (2021). nnctrl (https://www.mathworks.com/matlabcentral/fileexchange/86-nnctrl), MATLAB Central File Exchange. Retrieved .
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