Sparse Identification of Nonlinear Dynamics for Model Predictive Control

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  • Опубліковано 4 вер 2024

КОМЕНТАРІ • 6

  • @oncedidactic
    @oncedidactic 2 роки тому

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

  • @yinggling
    @yinggling 3 роки тому +2

    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
    @ericwu142 3 роки тому +2

    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
      @peter0702 2 роки тому

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

  • @debu478
    @debu478 4 роки тому +6

    Sir kindly show us a matlab example using model predictive control

    • @sapertuz
      @sapertuz 3 роки тому +2

      I support this request