April 10, 2026 Software Open Access

Lopes Junior, Enio; Reinecke, Sebastian

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  <identifier identifierType="DOI">10.14278/rodare.4601</identifier>
  <creators>
    <creator>
      <creatorName>Lopes Junior, Enio</creatorName>
      <givenName>Enio</givenName>
      <familyName>Lopes Junior</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7604-3205</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf (HZDR)</affiliation>
    </creator>
    <creator>
      <creatorName>Reinecke, Sebastian</creatorName>
      <givenName>Sebastian</givenName>
      <familyName>Reinecke</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2705-0692</nameIdentifier>
      <affiliation>Helmholtz-Zentrum Dresden-Rossendorf (HZDR)</affiliation>
    </creator>
  </creators>
  <titles>
    <title>NeuralMPCX: A Model Predictive Control library that supports classic MPC and neural MPC with CasADi</title>
  </titles>
  <publisher>Rodare</publisher>
  <publicationYear>2026</publicationYear>
  <subjects>
    <subject>Neural Model Predictive Control</subject>
    <subject>Recurrent Neural Networks</subject>
    <subject>Long Short-Term Memory</subject>
    <subject>RNN</subject>
    <subject>LSTM</subject>
    <subject>MPC</subject>
    <subject>Nonlinear Model Predictive Control</subject>
    <subject>Linear Model Predictive Control</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2026-04-10</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://rodare.hzdr.de/record/4601</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/hzdr/neural-mpcx/tree/v1.1.0</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsIdenticalTo">https://www.hzdr.de/publications/Publ-43156</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.14278/rodare.4567</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://rodare.hzdr.de/communities/rodare</relatedIdentifier>
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  <version>v1.1.0</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/Apache-2.0">Apache License 2.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">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.</description>
  </descriptions>
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