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@@ -23,7 +23,7 @@ The system is represented in [Figure 1](#figure--fig:siso-identification-schemat
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The goal of system identification is to compute the transfer function \\(G\\) from known excitation signal \\(u\\) and from a measure of \\(y\_m\\).
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There are different ways of obtaining a model \\(G\\) of the system summarized in Table [Table 1](#table--tab:system-identification-model-types).
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There are different ways of obtaining a model \\(G\\) of the system summarized in [Table 1](#table--tab:system-identification-model-types).
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For mechatronics systems, _frequency domain identification_ is the norm.
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<a id="table--tab:system-identification-model-types"></a>
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@@ -161,9 +161,7 @@ When the complete \\(GS\\) and \\(S\\) matrices are identified, the plan estimat
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\\[ \hat{\bm{G}}(j\omega) = \bm{GS}(j\omega) \bm{S\_i}^{-1}(j\omega) \\]
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## Design of the Excitation Signal {#design-of-the-excitation-signal}
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<span class="org-target" id="org-target--sec-system-identification-excitation-signal"></span>
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## Design of the Excitation Signal {#sec:system_identification_excitation_signal}
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### Introduction {#introduction}
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