diff --git a/4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md b/4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md
index ed083a87f..13141b398 100644
--- a/4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md	
+++ b/4 Qualifying Exam/2 Writing/1. QE Goals and Outcomes.md	
@@ -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. For a specified controller, robust control can find the set of plants with which the controller remains performant. 
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+Perturbing a nominal plant to establish robustness is not a new technique. For a specified controller, robust control can find the set of plants with which the controller remains performant. This set of plants encompasses a 'distance' from a nominal plant that 
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