vault backup: 2024-10-16 10:13:32

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Dane Sabo 2024-10-16 10:13:32 -04:00
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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
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[](https://doi.org/)
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>[!seealso] Related Papers
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# Annotations
### Imported: 2024-10-16 10:10 am

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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.
Suppose a set of plants representing a spring-mass-damper system is described as follows:
$$\mathcal{P} = \left{ \frac{}}
Suppose a plant representing a spring-mass-damper system is described as follows:
$$ P = \frac{X(s)}{F(s)} = \frac{1}{ms^2 + bs +k}$$
(The disk multiplicative perturbation)