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
@seraph_v13 күн бұрын
This is the best control video that I have ever seen in my life
@MATLAB12 күн бұрын
That's awesome. Thank you for watching!
@abhinav_mzn2 жыл бұрын
This is the best control video that I have ever seen...
@abreu9999 Жыл бұрын
Great explanation and an excellent teacher. Thank you.
@surajveertalreja94384 жыл бұрын
Excellent Lecture with Excellent Examples. Thank You so much!
@fernando.liozzi.418786 жыл бұрын
Excellent explanation! Could you please explain with a practical example using Simulink? Thank you very much.
@hyunkiseong14456 жыл бұрын
Nice video to understand the MPC! I also hope to learn with practical examples of Simulink. Thank you so much.
@tjdwnd95294 жыл бұрын
Fantastic. now I understand the concept of MPC and it took only 30minutes
@davidkooi43496 жыл бұрын
Fantastic! Thank you Melda and MathWorks
@joht916 жыл бұрын
Nice illustration and very good explanation. However, I don't really follow the part about control horizon. If the setpoint varied(instead of being constant as described in the video) for each time instant k, a control horizon shorter than prediction horizon is not suitable, right?
@meldaulusoy83896 жыл бұрын
Hi, unless you have preview, meaning your controller knows about the future reference, the setpoint used in the prediction is assumed to be constant. The controller looks at the value of the (varying) setpoint at current time step and uses it throughout the prediction. So, the same discussion in the video about control horizon would apply. You wouldn't choose a large control horizon because this increases complexity and doesn't significantly improve controller performance.
@joht916 жыл бұрын
Hi Melda, Thanks for the answer.
@goodwords.56456 жыл бұрын
please do a video on adaptive mpc for dc dc converters
@tunabilgin19934 жыл бұрын
Great explanation, though I am confused about one aspect. Don't we throw away our previous computations at each time step regardless of any disturbances that might happen?
@francismikaelmagueflor17492 жыл бұрын
yeah you throw them away but you're wasting computational resources by having an even larger window when those predictions can be easily made void by disturbances
@권세빈-u4v11 ай бұрын
thank you for video
@金飘飘-o2o4 жыл бұрын
amazing video!!!!!
@benjaminaskazlauskas1080 Жыл бұрын
Thank you
@kumarrahulbhadani6 жыл бұрын
I am eagerly waiting for examples using Model Predictive Control Toolbox in Simulink.
@meldaulusoy83896 жыл бұрын
Hi Rahul, we will post a couple of more videos, two of them focusing on different flavors of MPC such as adaptive, gain-scheduled and nonlinear, and methods to run MPC faster. And after these, we'll have Simulink demo videos. Thank you for you patience!
@mohemahmoude33566 жыл бұрын
am a bit confused,does the sample time equal to prediction horizon
@meldaulusoy83896 жыл бұрын
They are different. The sample time of the controller is really about how long it takes for the controller to compute an output to the plant. And it depends on several factors such as the system bandwidth and the maximum sampling rate of your processor. Prediction horizon is measured either as time duration [seconds] or time steps as in the video. It is about how many sample times you predict into the future.
@thugonomicsstark72386 жыл бұрын
if my reference is coordinates (x,y) and my plant (mobile robot ) has (x,y,theta) how do i implement it , please answer!
@alexandrpetrov11104 жыл бұрын
now I understand the concept of MPC and it took only 30minutes
@Manish-fo4gj5 жыл бұрын
Good explanation
@kumarrahulbhadani6 жыл бұрын
And please use examples from Autonomous drive while demonstrating MPC toolboxes. :)
@hamztoufik99844 жыл бұрын
thank you for the explanation and sincerely you are very beautiful .