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vault backup: 2024-09-10 12:26:50

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Dane Sabo 2024-09-10 12:26:50 -04:00
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commit fcdc5c9653
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.obsidian/plugins/obsidian-enhancing-export/data.json vendored
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@ -49,14 +49,11 @@
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4. Qualifying Exam/2. Writing/QE Abstract For Dan.md
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**Diffusion Generative Models For Unstructured Uncertainty Perturbations** **Diffusion Generative Models For Unstructured Uncertainty Perturbations**
The goal of this research is to use a generative diffusion model to create unstructured perturbations of a nominal plant. If this research is successful, this diffusion model will accomplish three main tasks: The goal of this research is to use a generative diffusion model to create unstructured perturbations of a nominal plant. If this research is successful, this diffusion model will accomplish three main tasks:
1. Generate Bode plots based on training data of example dynamic systems 1. Generate Bode plots based on training data of example dynamic systems
2. Perturb a nominal plant in an unstructured manner with a controllable amount of uncertainty 2. Perturb a nominal plant in an unstructured manner with a controllable amount of uncertainty

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4. Qualifying Exam/99. Exports/QE Abstract For Dan_v2.pdf
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