Download this hands-on MPC virtual lab to practice design of model predictive controllers for an autonomous vehicle steering system: bit.ly/MPC-virtual-lab
For a discrete-time model, you can convert delays into discrete states using absorbDelay command. For more information, please check out this example: www.mathworks.com/help/control/ug/convert-time-delay-in-discrete-time-model-to-factors-of-1z.html?searchHighlight=convert%20delay&s_tid=srchtitle_convert%20delay_2
Download this hands-on MPC virtual lab to practice design of model predictive controllers for an autonomous vehicle steering system: bit.ly/MPC-virtual-lab
Hi, is it possible to provide the material to reproduce the project?
what if the reference is time varying, tracking problem, how do we do it
how can I implement state/input dependent variable delays in the differential equations used to calculate the states in the stateFcn
For a discrete-time model, you can convert delays into discrete states using absorbDelay command. For more information, please check out this example: www.mathworks.com/help/control/ug/convert-time-delay-in-discrete-time-model-to-factors-of-1z.html?searchHighlight=convert%20delay&s_tid=srchtitle_convert%20delay_2
Nice
Excuse me
Can download video about model reference adaptive control laipanov
Is this compatible with dspace?