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
How one can solve the online optimization problem around 2.55? With non-linear dynamics (resulting in a non-convex objective function) and complex constraints, this problem can very much become non-convex, or even very hard to solve for local optimality.
I believe learning about the basics and building towards making your own controller involves understanding the theory and formulations that make MPC what it is. There is a lot of documentation in learning how cost functions, weights, and constraints work. Remember if you want to build the actual controller yourself, you have to take into account the plant and system dynamics you are trying to control. The best way to do this is to acquire pieces of example codes that could be useful for your controller, in any other way you will be lost in where to start. This book will help: Model Predictive Control System Design and Implementation Using MATLAB
Hi, how to apply mpc on system which has faults? I apply mpc via toolbox on my system and it works well, but when I apply faults than I can't obtain suitable results? maybe it's about blocks I couldn't figure it out. Could you give me a hint? Thanks.
Hi, this is explained at 4:11. MPC finds an optimal sequence for the steering angle but only applies the first step to the car. With this input the car travels some distance. Next we take a measurement and this loop repeats itself. The output of MPC is the steering angle which drives the car.
Hi, I recommend checking out the following examples: www.mathworks.com/help/mpc/examples/swing-up-control-of-a-pendulum-using-nonlinear-model-predictive-control.html www.mathworks.com/help/mpc/ug/nonlinear-model-predictive-control-of-exothermic-chemical-reactor.html
Hi, with plant I'm referring to the system you're trying to control. The input to the plant the computed by the controller to keep the plant output at a desired value.
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
Besides MPC, this video series implies: "TEACHING SKILL IS AN ART".
Thank you.
The person who created the animations deserves an oscar! Very good work!
It's actually not that difficult.
@@SaeedAcronia which software must be used to make them?
I meant you can create animations with matlab easily
Hi
could you please tell me how to simulate the results (the possible trajectories) in a road model?@@SaeedAcronia
a great description on MPC using a very simple example...that helped me a lot. wish the bests for you
at 2:10 the best predictive path is talked about, but how can we make the predictive path by car dynamics
The explanation is super clear!!!! thanks a lot
Clear and simple, thanks a lot. Can't wait to watch the next video.
Awesome explanations....high clarity...enjoyed it!!!!!
this teacher is the best
Well done 👏. You really bring understanding to this concept. Thank you.
Is it possible to increase the speed from 2x to 2.25x
How one can solve the online optimization problem around 2.55? With non-linear dynamics (resulting in a non-convex objective function) and complex constraints, this problem can very much become non-convex, or even very hard to solve for local optimality.
It would be great if you can demonstrate this example with MPC toolbox, clearly stating the problem, its formulation, assumptions and results.
Thanks for the feedback. We'll definitely have a demo video in this series where we'll show you how to use MPC Designer to design your controllers.
Which textbooks would you recommend to learn all basics about mpc and to go in depth about the subject?
Hii.. did you followed any book?
I believe learning about the basics and building towards making your own controller involves understanding the theory and formulations that make MPC what it is. There is a lot of documentation in learning how cost functions, weights, and constraints work. Remember if you want to build the actual controller yourself, you have to take into account the plant and system dynamics you are trying to control. The best way to do this is to acquire pieces of example codes that could be useful for your controller, in any other way you will be lost in where to start. This book will help: Model Predictive Control System Design and Implementation Using MATLAB
you are the best. thank you so much for sharing.
Hi please can you explain the formular used for cost function
Can I use this in line follower robot?
what are the states of the plant in this example?
Kudos! Best explanation about MPC ever :-)
Extremely helpful!! Thank you
Amazing video. Thanks a lot!
Very well done, thanks!
Very very nice work!
Hi, how to apply mpc on system which has faults? I apply mpc via toolbox on my system and it works well, but when I apply faults than I can't obtain suitable results? maybe it's about blocks I couldn't figure it out. Could you give me a hint? Thanks.
Ty for very nice Explanation..
Thanks! Very helpful! :)
It's very useful for me! Thanks a lot...!
I'm impressed!!! Very good!!!
Thank u maam for your valuable points about MPC.Best explanation about MPC .
I need document with MPC and cascade please
Good presentation it's helpful
Thanks alot ,teacher how can I find out the full course
Here's the link to the "Understanding Model Predictive Control" series: ua-cam.com/video/8U0xiOkDcmw/v-deo.html
@@meldaulusoy8389 hello hi...can you explain how apply in process automation
how the controller gets the new measurements
and how we define the feedback from MPC
Hi, this is explained at 4:11. MPC finds an optimal sequence for the steering angle but only applies the first step to the car. With this input the car travels some distance. Next we take a measurement and this loop repeats itself. The output of MPC is the steering angle which drives the car.
i need exemple , simulation (matab code) of NMPC , please
Hi, I recommend checking out the following examples: www.mathworks.com/help/mpc/examples/swing-up-control-of-a-pendulum-using-nonlinear-model-predictive-control.html
www.mathworks.com/help/mpc/ug/nonlinear-model-predictive-control-of-exothermic-chemical-reactor.html
Very helpful!
Very good!!!
Excellent!, thanks!
why MPC applies only the first the first step of the optimal sequence and disregrds the rest ???
why doesn't use the average value of all steps ??!
Why would it? Look at 2:31. Do you think the input at time k+3 is the same as the input at time k?
Very well explained. Please use mic.
please do a video on adaptive mpc for dc dc converters
we need more thank u
i have to make project in MPC with deep learning
Hi Ahmed, you may also want to check out MATLAB Tech Talks on Deep Learning: www.mathworks.com/videos/series/introduction-to-deep-learning.html
I love Ulusoy.
when she say "plant " did she mean "the system""
Hi, with plant I'm referring to the system you're trying to control. The input to the plant the computed by the controller to keep the plant output at a desired value.
we need text book and contact to you pls
i have next month v to give my projekt to the professor