From d986f4c4c350b3029778684a8f57c985b68fefd8 Mon Sep 17 00:00:00 2001 From: Dane Sabo Date: Mon, 4 Nov 2024 09:21:37 -0500 Subject: [PATCH] vault backup: 2024-11-04 09:21:37 --- 4 Qualifying Exam/2 Writing/2. QE State of the Art.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/4 Qualifying Exam/2 Writing/2. QE State of the Art.md b/4 Qualifying Exam/2 Writing/2. QE State of the Art.md index def3f23d..f1674b88 100644 --- a/4 Qualifying Exam/2 Writing/2. QE State of the Art.md +++ b/4 Qualifying Exam/2 Writing/2. QE State of the Art.md @@ -52,6 +52,8 @@ I got ChatGPT to help me with some stuff following the first version: Here was a ### **Robust Control Theory and Perturbation Challenges** **1.1 Robust Control Principles**: Briefly introduce robust control, emphasizing its focus on stability and performance despite uncertainties. Clarify that robust control aims to ensure reliability under a range of conditions. **1.2 Types of Uncertainty in Control Systems**: Explain structured vs. unstructured uncertainties and why unstructured uncertainties, though useful for capturing unmodeled dynamics, are challenging to generate. + - Talk about structured first. Structured makes sense bc it's tractable and is intuitive + - Then why unstructured. Need to make room for unmodeled dynamics. **1.3 Limitations of Current Perturbation Methods**: Discuss the current methods for structured perturbation generation and the lack of effective techniques for generating random, unstructured perturbations, especially for validating controller implementations. ### **Generative Models and Their Potential in Engineering** **2.1 Evolution of Generative Modeling**: Provide a brief history of generative models, covering GANs, VAEs, and diffusion models, highlighting their application in creating realistic samples.