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jwestrenen3
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his PR adds all background materials for Class 07:

  • Lecture notes (PDF)
  • Python and Julia code examples for LQR, LQG, and robust control
  • Demonstrations comparing different controllers

Python files were the original code, which I translated to julia for class examples.

@andrewrosemberg
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Thank you for submitting the code and slides.

  • For your presentation Friday, you can show us the examples in whatever programming language you like. You should change it to Julia for your chapter, though.

There is no way to review the Julia code as you have submitted, since it is too big for GitHub. The reason this happened was the lack of use of a central project.toml file. Have a look how the other students are doing: https://github.com/LearningToOptimize/LearningToControlClass/tree/main/class05

@andrewrosemberg
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Python code looks reasonable, but without better descriptive comments, it is hard to review.

@andrewrosemberg
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Thank you for the presentation today. I think we can rm the python files already as you have presented the julia pluto notebooks.

Once you can, have a look at how to activate the environment in your pluto notebooks so that they don't have the manifest included in them.

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2 participants