build based on 3f6fefb

Author: Documenter.jl

previews/PR417/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.12.2","generation_timestamp":"2025-12-04T14:30:12","documenter_version":"1.16.1"}}
+{"documenter":{"julia_version":"1.12.2","generation_timestamp":"2025-12-04T14:58:37","documenter_version":"1.16.1"}}

previews/PR417/API/blocks/index.html

@@ -20,7 +20,7 @@
 S = ss(matrices_S...)
 T = ss(matrices_T...)
 bodeplot([S, T], lab = ["S" "" "T" ""], plot_title = "Bode plot of sensitivity functions",
-    margin = 5Plots.mm)</code></pre><img src="5df172c0.svg" alt="Example block output"/><p>The sensitivity functions obtained this way should be equivalent to the ones obtained with the code below</p><pre><code class="language-julia hljs">using ControlSystemsBase
+    margin = 5Plots.mm)</code></pre><img src="58876878.svg" alt="Example block output"/><p>The sensitivity functions obtained this way should be equivalent to the ones obtained with the code below</p><pre><code class="language-julia hljs">using ControlSystemsBase
 P = tf(1.0, [1, 1]) |&gt; ss
 C = 1                      # Negative feedback assumed in ControlSystems
 S = sensitivity(P, C)      # or feedback(1, P*C)
@@ -70,7 +70,7 @@
 ----------
 1.0s + 2.0
 
-Continuous-time transfer function model</code></pre><h2 id="Gain-and-phase-margins"><a class="docs-heading-anchor" href="#Gain-and-phase-margins">Gain and phase margins</a><a id="Gain-and-phase-margins-1"></a><a class="docs-heading-anchor-permalink" href="#Gain-and-phase-margins" title="Permalink"></a></h2><p>Further linear analysis can be performed using the <a href="https://juliacontrol.github.io/ControlSystems.jl/stable/lib/analysis/">analysis methods from ControlSystemsBase</a>. For example, calculating the gain and phase margins of a system can be done using</p><pre><code class="language-julia hljs">margin(P)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(wgm = [NaN;;], gm = [Inf;;], wpm = [NaN;;], pm = [Inf;;])</code></pre><p>(they are infinite for this system). A Nyquist plot can be produced using</p><pre><code class="language-julia hljs">nyquistplot(P)</code></pre><img src="9aeb6175.svg" alt="Example block output"/><h2 id="Index"><a class="docs-heading-anchor" href="#Index">Index</a><a id="Index-1"></a><a class="docs-heading-anchor-permalink" href="#Index" title="Permalink"></a></h2><ul><li><a href="#ModelingToolkit.linearize"><code>ModelingToolkit.linearize</code></a></li></ul><article><details class="docstring" open="true"><summary id="ModelingToolkit.linearize"><a class="docstring-binding" href="#ModelingToolkit.linearize"><code>ModelingToolkit.linearize</code></a> — <span class="docstring-category">Function</span></summary><section><div><pre><code class="language-julia hljs">(; A, B, C, D), simplified_sys, extras = linearize(sys, inputs, outputs;    t=0.0, op = Dict(), allow_input_derivatives = false, zero_dummy_der=false, kwargs...)
+Continuous-time transfer function model</code></pre><h2 id="Gain-and-phase-margins"><a class="docs-heading-anchor" href="#Gain-and-phase-margins">Gain and phase margins</a><a id="Gain-and-phase-margins-1"></a><a class="docs-heading-anchor-permalink" href="#Gain-and-phase-margins" title="Permalink"></a></h2><p>Further linear analysis can be performed using the <a href="https://juliacontrol.github.io/ControlSystems.jl/stable/lib/analysis/">analysis methods from ControlSystemsBase</a>. For example, calculating the gain and phase margins of a system can be done using</p><pre><code class="language-julia hljs">margin(P)</code></pre><pre class="documenter-example-output"><code class="nohighlight hljs ansi">(wgm = [NaN;;], gm = [Inf;;], wpm = [NaN;;], pm = [Inf;;])</code></pre><p>(they are infinite for this system). A Nyquist plot can be produced using</p><pre><code class="language-julia hljs">nyquistplot(P)</code></pre><img src="a0f4de79.svg" alt="Example block output"/><h2 id="Index"><a class="docs-heading-anchor" href="#Index">Index</a><a id="Index-1"></a><a class="docs-heading-anchor-permalink" href="#Index" title="Permalink"></a></h2><ul><li><a href="#ModelingToolkit.linearize"><code>ModelingToolkit.linearize</code></a></li></ul><article><details class="docstring" open="true"><summary id="ModelingToolkit.linearize"><a class="docstring-binding" href="#ModelingToolkit.linearize"><code>ModelingToolkit.linearize</code></a> — <span class="docstring-category">Function</span></summary><section><div><pre><code class="language-julia hljs">(; A, B, C, D), simplified_sys, extras = linearize(sys, inputs, outputs;    t=0.0, op = Dict(), allow_input_derivatives = false, zero_dummy_der=false, kwargs...)
 (; A, B, C, D), extras                 = linearize(simplified_sys, lin_fun; t=0.0, op = Dict(), allow_input_derivatives = false, zero_dummy_der=false)</code></pre><p>Linearize <code>sys</code> between <code>inputs</code> and <code>outputs</code>, both vectors of variables. Return a NamedTuple with the matrices of a linear statespace representation on the form</p><p class="math-container">\[\begin{aligned}
 ẋ &amp;= Ax + Bu\\
 y &amp;= Cx + Du
@@ -130,4 +130,4 @@
 ## Symbolic linearization
 lsys_sym, _ = ModelingToolkit.linearize_symbolic(cl, [f.u], [p.x])
 
-@assert substitute(lsys_sym.A, ModelingToolkit.defaults(cl)) == lsys.A</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/SciML/ModelingToolkit.jl/blob/v10.30.0/src/linearization.jl#L670-L770">source</a></section></details></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../hydraulic/">« Hydraulic Components</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.16.1 on <span class="colophon-date" title="Thursday 4 December 2025 14:30">Thursday 4 December 2025</span>. Using Julia version 1.12.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+@assert substitute(lsys_sym.A, ModelingToolkit.defaults(cl)) == lsys.A</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/SciML/ModelingToolkit.jl/blob/v10.30.0/src/linearization.jl#L670-L770">source</a></section></details></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../hydraulic/">« Hydraulic Components</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="auto">Automatic (OS)</option><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="catppuccin-latte">catppuccin-latte</option><option value="catppuccin-frappe">catppuccin-frappe</option><option value="catppuccin-macchiato">catppuccin-macchiato</option><option value="catppuccin-mocha">catppuccin-mocha</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.16.1 on <span class="colophon-date" title="Thursday 4 December 2025 14:58">Thursday 4 December 2025</span>. Using Julia version 1.12.2.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>