Thank you very much for the lectures! Beautifully explained, and optimally paced. However, was just wondering if L2 and L6 of this course are also available? It's not present in the playlist or the channel. Regards,
Thanks. But sorry, it is just that I have not yet made those videos. All I have is here, I am not hiding anything. Those missing parts were either lectured in the traditional way or I have directed students to some other resources (book, lecture notes, someone's else videos). Have a look at the course website for the previous run of the course moodle.fel.cvut.cz/course/view.php?id=4794. I hope you can access it. If not, let me know.
At the beginning you are only assuming the objective function is C2, but afterward you equate it to its Taylor series, which you can only do if the function is analytic. So....do you need to assume analycity from the outset? Thanks for the lectures!
Thanks for your interest. However, this is all I have so far. If a lecture is missing, it indicates that I realized the corresponding teaching in the tradional way - lecturing in a classroom. Or, I have directed students to some other resources - books, my own or someone else's lecture notes. Have a look at the course website moodle.fel.cvut.cz/course/view.php?id=4794, perhaps you may find some goodies there.
Thankyou for the wonderful lectures. Please I want to learn this kind of Math(optimisation). I realise I have access to the Moodle website , however I was wondering I you could suggest a way to learn and have my Homework assessed to solidify my knowledge? Please help.
Johnson, thanks for the appreciation of the videolectures. And I am glad to hear that you have also visited the moodle webpage for the course (moodle.fel.cvut.cz/course/B3M35ORR). But I am afraid I can hardly offer anything more. A wealth of tips on other learning resources produced by others (including online available lecture notes and even videos) are placed there (besides my own lecture notes, slides and codes). I will be happy if you find some of these useful. But I have no capacity to assess your homework problem solutions, though, sorry. Good luck on your journey towards mastery of optimal and robust control. Feel free to ask concrete questions related to the videos here.
Hi. thanks for the video., at 4:10 , you said " then the two graphs always lies below this interconnected line segment", what does that means? because there is only one graph.
Probably (based on my education): Calculus I-III, differential equations, physics, dynamics, and controls of dynamic systems. I am taking this at the graduate level.
Sorry. At the end of the semester the whole course is archived and by default they (the IT guys) change its visibility. It escaped my attention. But now it should be accessible for public again: moodle.fel.cvut.cz/course/B3M35ORR or directly moodle.fel.cvut.cz/course/view.php?id=5716.
Not written by myself. I give recommendations for the literature on the course website moodle.fel.cvut.cz/course/view.php?id=4794. In particular, the section on literature moodle.fel.cvut.cz/mod/page/view.php?id=140925. Obviously, I am not able to pick and recommend a single book. In my course I want to offer students quite broad an overview and such strategy inevitably leads to switching among several books...
The term "unconstrained minimization" refers to the situation when we want to minimize something (cost function) or maximize something and the variables over which we are performing the optimization are unconstrained, otherwise the optimization is termed constrained.
Thank you very much for the lectures! Beautifully explained, and optimally paced. However, was just wondering if L2 and L6 of this course are also available? It's not present in the playlist or the channel. Regards,
Thanks. But sorry, it is just that I have not yet made those videos. All I have is here, I am not hiding anything. Those missing parts were either lectured in the traditional way or I have directed students to some other resources (book, lecture notes, someone's else videos). Have a look at the course website for the previous run of the course moodle.fel.cvut.cz/course/view.php?id=4794. I hope you can access it. If not, let me know.
@@aa4cc Thank you for this videos
Thank you very much for the videos. These are very helpful supplements to my course
Thanks for this feedback.
At the beginning you are only assuming the objective function is C2, but afterward you equate it to its Taylor series, which you can only do if the function is analytic. So....do you need to assume analycity from the outset?
Thanks for the lectures!
hi ,these are very helpful.thang you.And I am looking for some examples of programming about MPC.where can i find them?
Hi can you help me with MPC if you have learnt about it please?
Hey, awsome/ mindblowing notes... Can you please tell me the reference books that you used to prepare this notes?
I saw there are some missing lectures by the item number, is it possible to upload those later on? Best
Thanks for your interest. However, this is all I have so far. If a lecture is missing, it indicates that I realized the corresponding teaching in the tradional way - lecturing in a classroom. Or, I have directed students to some other resources - books, my own or someone else's lecture notes. Have a look at the course website moodle.fel.cvut.cz/course/view.php?id=4794, perhaps you may find some goodies there.
please make the rest of the videos of the course. regards
Thankyou for the wonderful lectures. Please I want to learn this kind of Math(optimisation). I realise I have access to the Moodle website , however I was wondering I you could suggest a way to learn and have my Homework assessed to solidify my knowledge? Please help.
Johnson, thanks for the appreciation of the videolectures. And I am glad to hear that you have also visited the moodle webpage for the course (moodle.fel.cvut.cz/course/B3M35ORR). But I am afraid I can hardly offer anything more. A wealth of tips on other learning resources produced by others (including online available lecture notes and even videos) are placed there (besides my own lecture notes, slides and codes). I will be happy if you find some of these useful. But I have no capacity to assess your homework problem solutions, though, sorry. Good luck on your journey towards mastery of optimal and robust control. Feel free to ask concrete questions related to the videos here.
Hi. thanks for the video., at 4:10 , you said " then the two graphs always lies below this interconnected line segment", what does that means? because there is only one graph.
they are two: one is the convex combination of the points (i.e. the line) the other is the convex curve
what are the prerequisites for this course ?
Probably (based on my education): Calculus I-III, differential equations, physics, dynamics, and controls of dynamic systems. I am taking this at the graduate level.
I found the matlab exercise ant tutorial on Moodle is not available anymore, will it be opened again?
Sorry. At the end of the semester the whole course is archived and by default they (the IT guys) change its visibility. It escaped my attention. But now it should be accessible for public again: moodle.fel.cvut.cz/course/B3M35ORR or directly moodle.fel.cvut.cz/course/view.php?id=5716.
Please,do you have agood book for this subject?
Not written by myself. I give recommendations for the literature on the course website moodle.fel.cvut.cz/course/view.php?id=4794. In particular, the section on literature moodle.fel.cvut.cz/mod/page/view.php?id=140925. Obviously, I am not able to pick and recommend a single book. In my course I want to offer students quite broad an overview and such strategy inevitably leads to switching among several books...
Thank you very much
what is the Definition of unconstrained minimization basically? how is it differ with constraint minimization?
The term "unconstrained minimization" refers to the situation when we want to minimize something (cost function) or maximize something and the variables over which we are performing the optimization are unconstrained, otherwise the optimization is termed constrained.
@@aa4cc okay, i got it thank's very much