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Dane Sabo 2024-09-10 11:34:06 -04:00
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42
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4
4. Qualifying Exam/2. Writing/0. QE Abstract.md
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@ -83,3 +83,7 @@ We suggest using a recent technology to more efficiently generate perturbed plan
**STATS: 250 / 250 words**
[[QE Abstract For Dan]]
# Take 5
The goal of this research is to use a generative diffusion model to create unstructured perturbations of a nominal plant. For a given controller, an engineer can use robust control theory to find the set of allowable perturbations. This theory gives confidence that a model of a controller is robust, but verifying robustness on an implementation of a controller requires perturbed plants to be extracted from the set.
We suggest using a recent technology to more efficiently generate perturbed plants. The diffusion generative model has shown great promise in creating novel and realistic samples from training data. This model can remove the laborious effort of creating perturbed plants. We suggest training a generative model to create Bode plots of transfer functions. This trained model will then be given a warm start with the nominal plant as an input, with which it will then be able to generate a limitless number of unique perturbed plants for controller validation.

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