April 10, 2026 Software Open Access

Lopes-Júnior, Ênio; Reinecke, Sebastian Felix

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  <dc:creator>Lopes-Júnior, Ênio</dc:creator>
  <dc:creator>Reinecke, Sebastian Felix</dc:creator>
  <dc:date>2026-04-10</dc:date>
  <dc:description>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.</dc:description>
  <dc:identifier>https://rodare.hzdr.de/record/4601</dc:identifier>
  <dc:identifier>10.14278/rodare.4601</dc:identifier>
  <dc:identifier>oai:rodare.hzdr.de:4601</dc:identifier>
  <dc:relation>url:https://github.com/hzdr/neural-mpcx/tree/v1.1.0</dc:relation>
  <dc:relation>doi:10.14278/rodare.4567</dc:relation>
  <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://opensource.org/licenses/Apache-2.0</dc:rights>
  <dc:title>NeuralMPCX: A Model Predictive Control library that supports classic MPC and neural MPC with CasADi</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
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