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 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!"
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?
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?
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