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Dane Sabo 2024-10-16 10:13:32 -04:00
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6
.obsidian/plugins/obsidian-citation-plugin/data.json vendored
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{ {
"citationExportFormat": "biblatex", "citationExportFormat": "biblatex",
"literatureNoteTitleTemplate": "@{{citekey}}", "literatureNoteTitleTemplate": "{{citekey}}",
"literatureNoteFolder": "201. Library Papers", "literatureNoteFolder": "201 Library Papers",
"literatureNoteContentTemplate": "# {{title}}\n#### ({{year}}) - {{authorString}}\n**Link**:: {{URL}}\n**DOI**:: {{DOI}}\n**Links**:: \n**Tags**:: #paper\n**Cite Key**:: [@{{citekey}}]\n\n### Abstract\n\n```\n{{abstract}}\n```\n\n### Notes\n", "literatureNoteContentTemplate": "# {{title}}\n#### ({{year}}) - {{authorString}}\n**Link**:: {{URL}}\n**DOI**:: {{DOI}}\n**Links**:: \n**Tags**:: #paper\n**Cite Key**:: [@{{citekey}}]\n\n### Abstract\n\n```\n{{abstract}}\n```\n\n### Notes\n",
"markdownCitationTemplate": "[@{{citekey}}]", "markdownCitationTemplate": "[@{{citekey}}]",
"alternativeMarkdownCitationTemplate": "@{{citekey}}", "alternativeMarkdownCitationTemplate": "@{{citekey}}",
"citationExportPath": "200. Library Papers/My Library.bib" "citationExportPath": "200 Library Papers/My Library.bib"
} }

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200 Library Papers/ControlTutorialsMATLAB.md Normal file
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---
readstatus: false
dateread:
title: "Control Tutorials for MATLAB and Simulink - Introduction: System Modeling"
year: Error: `format` can only be applied to dates. Tried for format object
authors:
citekey: "ControlTutorialsMATLAB"
---
# Indexing Information
## DOI
[](https://doi.org/)
## ISBN
[](https://www.isbnsearch.org/isbn/)
## Tags:
>[!Abstract]
>
>[!note] Markdown Notes
>None!
>[!seealso] Related Papers
>
# Annotations
### Imported: 2024-10-16 10:10 am

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4 Qualifying Exam/2 Writing/2. QE State of the Art.md
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@ -20,8 +20,8 @@ Robust control as a field determines how resilient a control system is to a diff
Robustness is dependent on two features: the characteristic to be guaranteed, and the set of reasonably possible perturbed plants $\mathcal{P}$. Usually the characteristic we're interested in is internal stability or performance. The possible set of plants, however, is less straightforward. The set $\mathcal{P}$ can be structured or unstructured. A structured set in this instance can be a discrete number of possible perturbed plants, or possibly a parametric study with a finite number of parameters. Let's consider an example. Robustness is dependent on two features: the characteristic to be guaranteed, and the set of reasonably possible perturbed plants $\mathcal{P}$. Usually the characteristic we're interested in is internal stability or performance. The possible set of plants, however, is less straightforward. The set $\mathcal{P}$ can be structured or unstructured. A structured set in this instance can be a discrete number of possible perturbed plants, or possibly a parametric study with a finite number of parameters. Let's consider an example.
Suppose a set of plants representing a spring-mass-damper system is described as follows: Suppose a plant representing a spring-mass-damper system is described as follows:
$$\mathcal{P} = \left{ \frac{}} $$ P = \frac{X(s)}{F(s)} = \frac{1}{ms^2 + bs +k}$$
(The disk multiplicative perturbation) (The disk multiplicative perturbation)