vault backup: 2024-08-29 16:38:55
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.obsidian/workspace.json
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28
.obsidian/workspace.json
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@ -29,6 +29,24 @@
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@ -135,7 +153,7 @@
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@ -178,10 +196,10 @@
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"3-99 Research/6. Researching Techniques/Highlighting Colors and What they Mean.md",
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"3-99 Research/6. Researching Techniques/Highlighting Colors and What they Mean.md",
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"QE Abstract Take 1 Edits.md",
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"1. Daily Notes/8. August/2024-08-29.md",
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"300s School/302. NUCE 2100 - Fundamentals of Nuclear Engineering/2024-09-03 Homework 1.md",
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@ -10,7 +10,7 @@ Generating perturbations is not trivial <mark style="background: #FFB86CA6;">bec
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<mark style="background: #FFB86CA6;">For an engineer to accomplish this task today one of two things happens: </mark>
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1. An engineer can randomly generate transfer functions as a perturbation and evaluate if their gain is less than one, or
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2. An engineer creates a structured perturbation instead using some parameters (transfer function order, physical attributes, etc.)
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[^2]
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We suggest a different way of generating unstructured perturbations.
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Instead of an engineer creating the perturbations, we suggest using a diffusion generative model to create perturbed plants directly.
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To do this, the diffusion generative model is trained to create Bode plots of transfer functions from noise.
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@ -25,4 +25,11 @@ This method of perturbation generation can be very powerful for robust controlle
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[[QE Abstract Take 1 Edits]]
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[^1]:Likely need to introduce what the fuck the set is
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[^1]:Likely need to introduce what the fuck the set is
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[^2]: Honestly just rewrite this whole thing
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# Take 2
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## First thoughts
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1. Introduce what a perturbation set is
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2. Generating unstructured perturbations is hard, but maybe we can use diffusion to do it
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3.
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