danesabo/Obsidian
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

vault backup: 2024-11-04 09:21:37

Browse Source
This commit is contained in:
Dane Sabo 2024-11-04 09:21:37 -05:00
parent 4c14aadda6
commit d986f4c4c3
1 changed files with 2 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
4 Qualifying Exam/2 Writing/2. QE State of the Art.md
View File

@ -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** ### **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. **1.1 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. **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. **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** ### **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. **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.