Update Content - 2021-08-27
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: [Decoupled Control](decoupled_control.md)
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Reference
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: ([Garrido, Vázquez, and Morilla 2012](#orgdf49544))
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: ([Garrido, Vázquez, and Morilla 2012](#org32a9ef5))
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Author(s)
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: Garrido, J., Francisco V\\'azquez, & Morilla, F.
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## Introduction {#introduction}
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Most decoupling approaches use the conventional decoupling scheme in Figure [1](#orge2ae292) with:
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Most decoupling approaches use the conventional decoupling scheme in Figure [1](#org265d382) with:
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- \\(G(s)\\) the process matrix
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- \\(D(s)\\) the decoupler matrix
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@@ -38,7 +38,7 @@ The main problem of this methodology is the fact that the complexity of the deco
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An alternative decoupling methods, called _inverted decoupling_, maintains very simple apparent processes and decoupler element independently of the system size.
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However, inverted decoupling cannot be applied to processes with multivariable [Right Half Plane Zeros](right_half_plane_zeros.md).
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<a id="orge2ae292"></a>
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<a id="org265d382"></a>
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{{< figure src="/ox-hugo/garrido12_decoupling_control_system.png" caption="Figure 1: Block diagram of a decoupling control system" >}}
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## Bibliography {#bibliography}
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<a id="orgdf49544"></a>Garrido, Juan, Francisco Vázquez, and Fernando Morilla. 2012. “Centralized Multivariable Control by Simplified Decoupling.” _Journal of Process Control_ 22 (6):1044–62. <https://doi.org/10.1016/j.jprocont.2012.04.008>.
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<a id="org32a9ef5"></a>Garrido, Juan, Francisco Vázquez, and Fernando Morilla. 2012. “Centralized Multivariable Control by Simplified Decoupling.” _Journal of Process Control_ 22 (6):1044–62. <https://doi.org/10.1016/j.jprocont.2012.04.008>.
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