build based on a8b9778

dev/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-09-18T09:38:25","documenter_version":"1.7.0"}}
+{"documenter":{"julia_version":"1.10.5","generation_timestamp":"2024-09-18T11:12:34","documenter_version":"1.7.0"}}

dev/examples/juliacon_2023/index.html

@@ -87,10 +87,10 @@
 	Var. naming conv.:		structured
 	Event indicators:		28
 	Inputs:				0
-	Outputs:			0
-	States:				6
 
 
+	Outputs:			0
+	States:				6
 		33554432 ["driver.accelerationPedalController.PI.x"]
 		33554433 ["driver.brakePedalController.PI.x"]
 		33554434 ["drivingCycle.s"]
@@ -551,4 +551,4 @@
 #using DistributedHyperOpt.Distributed 
 
 # ... and uncomment the following line
-#end # NODE_Training </code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../simple_hybrid_ME/">« Simple ME-NeuralFMU</a><a class="docs-footer-nextpage" href="../modelica_conference_2021/">Modelica Conference 2021 »</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 1.7.0 on <span class="colophon-date" title="Wednesday 18 September 2024 09:38">Wednesday 18 September 2024</span>. Using Julia version 1.10.5.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+#end # NODE_Training </code></pre></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../simple_hybrid_ME/">« Simple ME-NeuralFMU</a><a class="docs-footer-nextpage" href="../modelica_conference_2021/">Modelica Conference 2021 »</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 1.7.0 on <span class="colophon-date" title="Wednesday 18 September 2024 11:12">Wednesday 18 September 2024</span>. Using Julia version 1.10.5.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>

dev/examples/modelica_conference_2021/index.html

@@ -52,8 +52,6 @@
 	Inputs:				0
 	Outputs:			0
 	States:				2
-
-
 		33554432 ["mass.s"]
 		33554433 ["mass.v", "mass.v_relfric"]
 	Parameters:			12
@@ -90,7 +88,7 @@
 velReal = getValue(realSimData, "mass.v")
 plot(realSimData)</code></pre><pre><code class="nohighlight hljs">Simulating ME-FMU ...   0%|█                             |  ETA: N/A
 
-[34mSimulating ME-FMU ... 100%|██████████████████████████████| Time: 0:00:16[39m</code></pre><h4 id="Define-functions"><a class="docs-heading-anchor" href="#Define-functions">Define functions</a><a id="Define-functions-1"></a><a class="docs-heading-anchor-permalink" href="#Define-functions" title="Permalink"></a></h4><p>Also, a function to extract the position and velocity from the simulation data is created.</p><pre><code class="language-julia hljs">function extractPosVel(simData)
+[34mSimulating ME-FMU ... 100%|██████████████████████████████| Time: 0:00:15[39m</code></pre><h4 id="Define-functions"><a class="docs-heading-anchor" href="#Define-functions">Define functions</a><a id="Define-functions-1"></a><a class="docs-heading-anchor-permalink" href="#Define-functions" title="Permalink"></a></h4><p>Also, a function to extract the position and velocity from the simulation data is created.</p><pre><code class="language-julia hljs">function extractPosVel(simData)
     if simData.states === nothing
         posData = getValue(simData, &quot;mass.s&quot;)
         velData = getValue(simData, &quot;mass.v&quot;)
@@ -406,9 +404,9 @@
 ┌ Info:   Loss [501]: 0.2292
 │         Avg displacement in data: 0.47875
 └         Weight/Scale: 0.763209453810433   Bias/Offset: 0.20972727851143513
-[ Info: Run: 1/2  Epoch: 2/5
 
 
+[ Info: Run: 1/2  Epoch: 2/5
 ┌ Info:   Loss [551]: 0.15297
 │         Avg displacement in data: 0.39111
 └         Weight/Scale: 0.7716294020933754   Bias/Offset: 0.21500804696457382
@@ -508,9 +506,9 @@
 ┌ Info:   Loss [1501]: 0.01176
 │         Avg displacement in data: 0.10843
 └         Weight/Scale: 0.7521206937747862   Bias/Offset: 0.1989686681528405
+[ Info: Run: 1/2  Epoch: 4/5
 
 
-[ Info: Run: 1/2  Epoch: 4/5
 ┌ Info:   Loss [1551]: 0.01135
 │         Avg displacement in data: 0.10653
 └         Weight/Scale: 0.7506097264801087   Bias/Offset: 0.19789621918008185
@@ -559,9 +557,9 @@
 ┌ Info:   Loss [2001]: 0.00899
 │         Avg displacement in data: 0.09481
 └         Weight/Scale: 0.7379782021500545   Bias/Offset: 0.18645999496249335
+[ Info: Run: 1/2  Epoch: 5/5
 
 
-[ Info: Run: 1/2  Epoch: 5/5
 ┌ Info:   Loss [2051]: 0.00847
 │         Avg displacement in data: 0.09201
 └         Weight/Scale: 0.7365607177262747   Bias/Offset: 0.18511411682205303
@@ -612,7 +610,7 @@
 └         Weight/Scale: 0.7438872351944437   Bias/Offset: 0.19014429963747764
 
 
- 96.876908 seconds (1.32 G allocations: 59.333 GiB, 8.89% gc time, 0.09% compilation time)
+ 97.913890 seconds (1.32 G allocations: 59.333 GiB, 9.39% gc time, 0.08% compilation time)
 
 
 
@@ -699,9 +697,9 @@
 ┌ Info:   Loss [3001]: 0.00218
 │         Avg displacement in data: 0.04673
 └         Weight/Scale: 0.7438315491972639   Bias/Offset: 0.19698127821198744
-[ Info: Run: 2/2  Epoch: 2/5
 
 
+[ Info: Run: 2/2  Epoch: 2/5
 ┌ Info:   Loss [3051]: 0.0021
 │         Avg displacement in data: 0.04584
 └         Weight/Scale: 0.7438199538351697   Bias/Offset: 0.19793962190968858
@@ -750,9 +748,9 @@
 ┌ Info:   Loss [3501]: 0.00136
 │         Avg displacement in data: 0.03688
 └         Weight/Scale: 0.7441695114493807   Bias/Offset: 0.20665220126400813
+[ Info: Run: 2/2  Epoch: 3/5
 
 
-[ Info: Run: 2/2  Epoch: 3/5
 ┌ Info:   Loss [3551]: 0.0013
 │         Avg displacement in data: 0.03608
 └         Weight/Scale: 0.7442249966603137   Bias/Offset: 0.20760125403750768
@@ -905,7 +903,7 @@
 └         Weight/Scale: 0.7366671763752564   Bias/Offset: 0.22303477489954107
 
 
- 86.059591 seconds (1.19 G allocations: 53.583 GiB, 8.47% gc time)
+ 87.087247 seconds (1.19 G allocations: 53.583 GiB, 8.76% gc time)
 
 
 
@@ -930,4 +928,4 @@
 
 [ Info: Friction model 1 mse: 16.30873694544497
 [ Info: Friction model 2 mse: 18.472186845588634</code></pre><p>Finally, the FMUs are cleaned-up.</p><pre><code class="language-julia hljs">unloadFMU(simpleFMU)
-unloadFMU(realFMU)</code></pre><h3 id="Summary"><a class="docs-heading-anchor" href="#Summary">Summary</a><a id="Summary-1"></a><a class="docs-heading-anchor-permalink" href="#Summary" title="Permalink"></a></h3><p>Based on the plots, it can be seen that the curves of the <em>realFMU</em> and the <em>neuralFMU</em> are very close. The <em>neuralFMU</em> is able to learn the friction and displacement model.</p><h3 id="Source"><a class="docs-heading-anchor" href="#Source">Source</a><a id="Source-1"></a><a class="docs-heading-anchor-permalink" href="#Source" title="Permalink"></a></h3><p>[1] Tobias Thummerer, Lars Mikelsons and Josef Kircher. 2021. <strong>NeuralFMU: towards structural integration of FMUs into neural networks.</strong> Martin Sjölund, Lena Buffoni, Adrian Pop and Lennart Ochel (Ed.). Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021. Linköping University Electronic Press, Linköping (Linköping Electronic Conference Proceedings ; 181), 297-306. <a href="https://doi.org/10.3384/ecp21181297">DOI: 10.3384/ecp21181297</a></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../juliacon_2023/">« JuliaCon 2023</a><a class="docs-footer-nextpage" href="../workshops/">Pluto Workshops »</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 1.7.0 on <span class="colophon-date" title="Wednesday 18 September 2024 09:38">Wednesday 18 September 2024</span>. Using Julia version 1.10.5.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+unloadFMU(realFMU)</code></pre><h3 id="Summary"><a class="docs-heading-anchor" href="#Summary">Summary</a><a id="Summary-1"></a><a class="docs-heading-anchor-permalink" href="#Summary" title="Permalink"></a></h3><p>Based on the plots, it can be seen that the curves of the <em>realFMU</em> and the <em>neuralFMU</em> are very close. The <em>neuralFMU</em> is able to learn the friction and displacement model.</p><h3 id="Source"><a class="docs-heading-anchor" href="#Source">Source</a><a id="Source-1"></a><a class="docs-heading-anchor-permalink" href="#Source" title="Permalink"></a></h3><p>[1] Tobias Thummerer, Lars Mikelsons and Josef Kircher. 2021. <strong>NeuralFMU: towards structural integration of FMUs into neural networks.</strong> Martin Sjölund, Lena Buffoni, Adrian Pop and Lennart Ochel (Ed.). Proceedings of 14th Modelica Conference 2021, Linköping, Sweden, September 20-24, 2021. Linköping University Electronic Press, Linköping (Linköping Electronic Conference Proceedings ; 181), 297-306. <a href="https://doi.org/10.3384/ecp21181297">DOI: 10.3384/ecp21181297</a></p></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../juliacon_2023/">« JuliaCon 2023</a><a class="docs-footer-nextpage" href="../workshops/">Pluto Workshops »</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 1.7.0 on <span class="colophon-date" title="Wednesday 18 September 2024 11:12">Wednesday 18 September 2024</span>. Using Julia version 1.10.5.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>