diff --git a/.obsidian/bookmarks.json b/.obsidian/bookmarks.json new file mode 100644 index 000000000..dff0ba7f6 --- /dev/null +++ b/.obsidian/bookmarks.json @@ -0,0 +1,14 @@ +{ + "items": [ + { + "type": "file", + "ctime": 1730397400319, + "path": "0 Managerial Pages/To Do List.md" + }, + { + "type": "file", + "ctime": 1730397409494, + "path": "4 Qualifying Exam/1 Managing Stuff/0. QE To Do List.md" + } + ] +} \ No newline at end of file diff --git a/2 Cole Group Meeting Notes/Weekly Note 2024-10-30.md b/2 Cole Group Meeting Notes/Weekly Note 2024-10-30.md index b5f793747..82c9e1407 100644 --- a/2 Cole Group Meeting Notes/Weekly Note 2024-10-30.md +++ b/2 Cole Group Meeting Notes/Weekly Note 2024-10-30.md @@ -42,7 +42,7 @@ where readstatus and dateread => this.date-dur(7) # This Week's Plan Ass in chair. Don't stop writing. Halloween event. -Figure out what the fuck the Lobot model is. (Constraint Refinement Galois HARDENs report) +Figure out what the fuck the Lobot model is. (Constraint Refinement Galois HARDENs report). Come back with something that sort of talks about what this thing does. Converse with people above and below in the stack about how we connect. ## Tasks This Next Week ### Tasks Overdue ```dataview diff --git a/4 Qualifying Exam/2 Writing/3. QE Research Approach.md b/4 Qualifying Exam/2 Writing/3. QE Research Approach.md index d5c3ea4fc..13cc0d168 100644 --- a/4 Qualifying Exam/2 Writing/3. QE Research Approach.md +++ b/4 Qualifying Exam/2 Writing/3. QE Research Approach.md @@ -78,11 +78,8 @@ Restate the main goal: to create a diffusion model that can generate unstructure **4.3 Diffusion Model Reverse Process for Perturbation Generation**: Explain the reverse process, where a neural network denoises the plant sample to produce novel, unstructured perturbations. - **4.4 Experimental Design for Verifying Perturbation Validity**: Outline how you’ll validate that the generated plants belong to the allowable set, ensuring they meet robust stability/performance criteria by checking Nyquist stability. ### **Expected Outcomes and Verification of Results** -#### ***5.1 Outcome 1**: A set of valid unstructured perturbations that satisfy robustness requirements. -##### testing testing! -###### aaaaaaaaaaaaaaaaaaaa - **5.2 Outcome 2**: Quantitative assessment of the model’s ability to approximate the uncertainty bounds in W2W_2W2​. - **5.3 Outcome 3**: Reduced effort in generating perturbations for robustness verification in controller implementation. + ***5.1 Outcome 1**: A set of valid unstructured perturbations that satisfy robustness requirements. +**5.2 Outcome 2**: Quantitative assessment of the model’s ability to approximate the uncertainty bounds in W2W_2W2​. +**5.3 Outcome 3**: Reduced effort in generating perturbations for robustness verification in controller implementation. ### **Implications and Potential Applications** - - - Discuss broader implications for robust control, such as reducing the cost and complexity of verification processes for infrastructure systems. Explain how success could advance diffusion models’ applications beyond robust control, perhaps influencing fields requiring resilient system validation. \ No newline at end of file +Discuss broader implications for robust control, such as reducing the cost and complexity of verification processes for infrastructure systems. Explain how success could advance diffusion models’ applications beyond robust control, perhaps influencing fields requiring resilient system validation. \ No newline at end of file