From ee4d7ff6c692b0b8b126cd0743f0ffb1baa6c523 Mon Sep 17 00:00:00 2001 From: Dane Sabo Date: Thu, 29 Aug 2024 17:23:55 -0400 Subject: [PATCH] vault backup: 2024-08-29 17:23:55 --- 4. Qualifying Exam/2. Writing/QE Abstract.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/4. Qualifying Exam/2. Writing/QE Abstract.md b/4. Qualifying Exam/2. Writing/QE Abstract.md index 7f4d1a7c..5f59b742 100644 --- a/4. Qualifying Exam/2. Writing/QE Abstract.md +++ b/4. Qualifying Exam/2. Writing/QE Abstract.md @@ -44,4 +44,5 @@ What we cannot do is easily validate our guarantees on a real controller. While we have been able to find the set of perturbed plants for decades, being able to create and test a controller with elements from that set is by no means trivial. The most common way of accomplishing this task today is by using structured perturbations, where an engineer traces throughout the system where uncertainty comes from and then establishes probability density functions for each uncertainty, culminating in a probabilistic model that can be sampled to create elements of the set. This is an expensive way to create perturbations. -The other way is by using unstructured perturbations. For this method, some transfer function $\delta$ with a maximum gain is used to augment the nominal plant model. \ No newline at end of file +The other way is by using unstructured perturbations. +For this method, some transfer function $\delta$ with a maximum gain is used to augment the nominal plant model. \ No newline at end of file