Hi Brian ! Thanks for this great video ! Could you add the link to the ressources about Lyapunov and MIT rules you mentionned please ? It would be greatly appreciated.
So those parameters could for example be estimated with for example least mean squares or recursive least squares? I assume that there should then also be some persistence of excitation condition in order to guarantee convergence, so would this then also require some sort of dithering to ensure this?
Thanks for letting me know. I'm not sure why they got left off. I also put all of them in this Resourcium journey: resourcium.org/journey/companion-resources-adaptive-control-basics-what-model-reference-adaptive-control
Very Nice, what video equipment are you using to build these videos. Also, you have infographics as well. Adaptive controls can be a lifetime of learning and getting this right. practicing with models most companies don't support. All these models and controllers need to be exercised. If you spend too much time modeling, the boss feels that you are not doing your job, but this is far from the truth. Most bosses have MSEE degrees or better but stay lost in meetings. They don't practice anything. It's hard to stay current using company time. Any ideas on how to create more time?
so basically MRAC is to create a hallucination for control engineers that "this nonlinear systems follow a super simple linear model and I verified it in experiment!"
@@alsamarayaliraqy7456 See the details here www.mathworks.com/support/contact_us.html You can also get help on MATLAB Answers www.mathworks.com/matlabcentral/answers/index
I looked at a lot of resources to understand MRAC. Finally a video that breaks down the basics. Thanks a ton Brian! :)
Wow, I was looking for this exact kind of introduction to adaptive control, and find this video just uploaded today!
I actually appreciate the effort that has been done in this video
that was awesome! such a great topic. i immediately go in simulink to implement MRAC into some projects
Hi Brian ! Thanks for this great video ! Could you add the link to the ressources about Lyapunov and MIT rules you mentionned please ? It would be greatly appreciated.
@brian im also interested
Me too
This video is amazing!
awesome, thanks for this explanation, pls video for model predictive control
Thank you for this amazing video
Amazing!!! Thanks for such excellent explanation.
This is fascinating
awesome, pls more on this topic
excelllent lecture sir thank you so much
Excellent
Good video. Thanks
Awesome video !!! Love them all
Hi, Brian your videos about control theory is great , I hope you will talk about MPC controller :)
Hi can you please link to the videos you mentioned about the lyaponov rule? thanks for a great video
good one.
Litterly creative concept and nicely explained 👍👍
Thanks!!
So those parameters could for example be estimated with for example least mean squares or recursive least squares? I assume that there should then also be some persistence of excitation condition in order to guarantee convergence, so would this then also require some sort of dithering to ensure this?
Thank you Brain for the nice explanation. Links to resources are not in the description.
Thanks for letting me know. I'm not sure why they got left off. I also put all of them in this Resourcium journey: resourcium.org/journey/companion-resources-adaptive-control-basics-what-model-reference-adaptive-control
Very Nice, what video equipment are you using to build these videos. Also, you have infographics as well. Adaptive controls can be a lifetime of learning and getting this right. practicing with models most companies don't support. All these models and controllers need to be exercised. If you spend too much time modeling, the boss feels that you are not doing your job, but this is far from the truth. Most bosses have MSEE degrees or better but stay lost in meetings. They don't practice anything. It's hard to stay current using company time. Any ideas on how to create more time?
so basically MRAC is to create a hallucination for control engineers that "this nonlinear systems follow a super simple linear model and I verified it in experiment!"
Adaptive control to improve stability of induction motor
My master's thesis... can anyone help me with sources or something?
Thanks for the video, but I cannot see the resources on MIT rule and Lyapunov in the description!
I wonder how related is this to SMC since it also uses Lyapunov stability criteria to cancel unknown non linear behaviors
Adaptive control to improve stability of induction motor
My master's thesis... can anyone help me with sources or something?
Hi Everyone, How can I improve the Iterative Learning Control Model Predictive Controller to enhance Atomic Force Microscopy performance?
which subject is this i was searching feedforward control system in physiology
i need exampele with MRAC
Hi, why the uncertainty f(x) assumed to be appear with u(t) as B(u + f(x)), rather than \dot x = Ax + Bu + f(x)?
Adaptive control to improve stability of induction motor
My master's thesis... can anyone help me with sources or something?
I suggest contacting MathWorks Tech Support.
@@MATLAB How can I contact them?
@@alsamarayaliraqy7456 See the details here www.mathworks.com/support/contact_us.html You can also get help on MATLAB Answers www.mathworks.com/matlabcentral/answers/index
Imagine this bullshit happening to you and spending years in hell wondering what's wrong with you