Sparse Identification of Nonlinear Dynamics for Model Predictive Control

[@esti445]

This is amazing. Thank you so much for this! The chapter in your book on ML for control is absolutely beautiful.

[@oncedidactic]

SINDY is going to be standing here waiting while we hit the next bitter lesson plateau. super cool stuff!

[@yinggling]

Hi Steve, great lecture again. I really enjoyed it! I have a small question if you don't mind answering. Does the SINDYC method assume the knowledge of the form of the measurement relations (e.g. differential equations)?

[@ericwu142]

Hi professor Steve, awesome lectures. I have a general question. If the system I am trying to identify is a black-box, I don’t really know what gives a full state vector, or I might not be able to measure some of them, do I just guess it out or do I try sINDy with a reduced order state vector or does it mean I can’t use sINDy?

[@peter0702]

I will say for a system that has some independent states are unobservable, you really cannot control it properly right?

[@debu478]

Sir kindly show us a matlab example using model predictive control

[@sapertuz]

I support this request