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4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md
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@ -89,4 +89,4 @@ If this research is successful, this diffusion model will accomplish three main
**Outcome 3:** Generate time and frequency domain responses based on training data of example systems. The diffusion model is like any other machine learning model: it requires training data. For this diffusion model, we will create training data of physically realizable plants dynamics. This training data will teach the diffusion model to create realistic time and frequency responses as novel samples.
Perturbing a nominal plant to establish robustness is not a new technique. Robust control can find the set of plants with which a controller remains performant. This set of plants encompasses a 'distance' from a nominal plant that
Perturbing a nominal plant to establish robustness is not a new technique. Robust control can find the set of plants with which a controller remains performant. Finding this set is a well understood problem, and can be straightforward. An engineer can use this set of plants to say how robust a nominal controller is to perturbation, and make guarantees about