vault backup: 2024-08-29 16:38:55

This commit is contained in:
Dane Sabo 2024-08-29 16:38:55 -04:00
parent 42fc8bbed3
commit 467d1c9966
2 changed files with 32 additions and 7 deletions

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@ -10,7 +10,7 @@ Generating perturbations is not trivial <mark style="background: #FFB86CA6;">bec
<mark style="background: #FFB86CA6;">For an engineer to accomplish this task today one of two things happens: </mark>
1. An engineer can randomly generate transfer functions as a perturbation and evaluate if their gain is less than one, or
2. An engineer creates a structured perturbation instead using some parameters (transfer function order, physical attributes, etc.)
[^2]
We suggest a different way of generating unstructured perturbations.
Instead of an engineer creating the perturbations, we suggest using a diffusion generative model to create perturbed plants directly.
To do this, the diffusion generative model is trained to create Bode plots of transfer functions from noise.
@ -25,4 +25,11 @@ This method of perturbation generation can be very powerful for robust controlle
[[QE Abstract Take 1 Edits]]
[^1]:Likely need to introduce what the fuck the set is
[^1]:Likely need to introduce what the fuck the set is
[^2]: Honestly just rewrite this whole thing
# Take 2
## First thoughts
1. Introduce what a perturbation set is
2. Generating unstructured perturbations is hard, but maybe we can use diffusion to do it
3.