Software Open Access
Lopes Junior, Enio;
Reinecke, Sebastian
<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
<leader>00000nmm##2200000uu#4500</leader>
<datafield tag="700" ind1=" " ind2=" ">
<subfield code="a">Reinecke, Sebastian</subfield>
<subfield code="u">Helmholtz-Zentrum Dresden-Rossendorf (HZDR)</subfield>
<subfield code="0">(orcid)0000-0003-2705-0692</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Neural Model Predictive Control</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Recurrent Neural Networks</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Long Short-Term Memory</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">RNN</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">LSTM</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">MPC</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Nonlinear Model Predictive Control</subfield>
</datafield>
<datafield tag="653" ind1=" " ind2=" ">
<subfield code="a">Linear Model Predictive Control</subfield>
</datafield>
<datafield tag="980" ind1=" " ind2=" ">
<subfield code="a">user-rodare</subfield>
</datafield>
<datafield tag="024" ind1=" " ind2=" ">
<subfield code="a">10.14278/rodare.4601</subfield>
<subfield code="2">doi</subfield>
</datafield>
<datafield tag="773" ind1=" " ind2=" ">
<subfield code="a">https://github.com/hzdr/neural-mpcx/tree/v1.1.0</subfield>
<subfield code="i">isSupplementTo</subfield>
<subfield code="n">url</subfield>
</datafield>
<datafield tag="773" ind1=" " ind2=" ">
<subfield code="a">https://www.hzdr.de/publications/Publ-43156</subfield>
<subfield code="i">isIdenticalTo</subfield>
<subfield code="n">url</subfield>
</datafield>
<datafield tag="773" ind1=" " ind2=" ">
<subfield code="a">10.14278/rodare.4567</subfield>
<subfield code="i">isVersionOf</subfield>
<subfield code="n">doi</subfield>
</datafield>
<datafield tag="542" ind1=" " ind2=" ">
<subfield code="l">open</subfield>
</datafield>
<datafield tag="100" ind1=" " ind2=" ">
<subfield code="a">Lopes Junior, Enio</subfield>
<subfield code="u">Helmholtz-Zentrum Dresden-Rossendorf (HZDR)</subfield>
<subfield code="0">(orcid)0000-0002-7604-3205</subfield>
</datafield>
<datafield tag="909" ind1="C" ind2="O">
<subfield code="o">oai:rodare.hzdr.de:4601</subfield>
<subfield code="p">software</subfield>
<subfield code="p">user-rodare</subfield>
</datafield>
<controlfield tag="005">20260504083342.0</controlfield>
<datafield tag="856" ind1="4" ind2=" ">
<subfield code="s">446300</subfield>
<subfield code="u">https://rodare.hzdr.de/record/4601/files/hzdr/neural-mpcx-v1.1.0.zip</subfield>
<subfield code="z">md5:fad77bd58ff2112936d6cdb8f00eb94a</subfield>
</datafield>
<datafield tag="540" ind1=" " ind2=" ">
<subfield code="u">https://opensource.org/licenses/Apache-2.0</subfield>
<subfield code="a">Apache License 2.0</subfield>
</datafield>
<controlfield tag="001">4601</controlfield>
<datafield tag="650" ind1="1" ind2="7">
<subfield code="a">cc-by</subfield>
<subfield code="2">opendefinition.org</subfield>
</datafield>
<datafield tag="245" ind1=" " ind2=" ">
<subfield code="a">NeuralMPCX: A Model Predictive Control library that supports classic MPC and neural MPC with CasADi</subfield>
</datafield>
<datafield tag="980" ind1=" " ind2=" ">
<subfield code="a">software</subfield>
</datafield>
<datafield tag="520" ind1=" " ind2=" ">
<subfield code="a">NeuralMPCX is a Python library for building and deploying Model Predictive Controllers with classic and neural dynamical models. You write constrained MPC with RNN/LSTM models in a CasADi/IPOPT workflow. The library handles CasADi RNN integration, warm-starting, constraint management, real-time feasibility, and both LTI state-space and neural dynamics in one framework. You can run neural and classical MPC controllers side by side.</subfield>
</datafield>
<datafield tag="260" ind1=" " ind2=" ">
<subfield code="c">2026-04-10</subfield>
</datafield>
</record>
| All versions | This version | |
|---|---|---|
| Views | 499 | 234 |
| Downloads | 16 | 10 |
| Data volume | 6.8 MB | 4.5 MB |
| Unique views | 468 | 226 |
| Unique downloads | 15 | 10 |