June 24, 2026 Software Open Access

Lopes Junior, Enio; Reinecke, Sebastian

JSON Export

{
  "files": [
    {
      "type": "zip", 
      "key": "hzdr/neural-mpcx-v3.0.0.zip", 
      "checksum": "md5:1b54c943a81ba5a0f2e54a3f121b3d4c", 
      "size": 801356, 
      "bucket": "a5b37987-6fa5-4c55-b321-feb6f68292e9", 
      "links": {
        "self": "https://rodare.hzdr.de/api/files/a5b37987-6fa5-4c55-b321-feb6f68292e9/hzdr/neural-mpcx-v3.0.0.zip"
      }
    }
  ], 
  "conceptrecid": "4567", 
  "updated": "2026-06-26T11:41:02.626282+00:00", 
  "stats": {
    "volume": 0.0, 
    "unique_downloads": 0.0, 
    "version_unique_downloads": 27.0, 
    "unique_views": 30.0, 
    "downloads": 0.0, 
    "version_unique_views": 771.0, 
    "version_views": 835.0, 
    "version_downloads": 28.0, 
    "version_volume": 10302263.0, 
    "views": 31.0
  }, 
  "created": "2026-06-24T14:20:39.544711+00:00", 
  "doi": "10.14278/rodare.4734", 
  "id": 4734, 
  "metadata": {
    "title": "NeuralMPCX: A Model Predictive Control library that supports classic MPC and neural MPC with CasADi", 
    "resource_type": {
      "type": "software", 
      "title": "Software"
    }, 
    "related_identifiers": [
      {
        "relation": "isSupplementTo", 
        "identifier": "https://github.com/hzdr/neural-mpcx/tree/v3.0.0", 
        "scheme": "url"
      }, 
      {
        "relation": "isIdenticalTo", 
        "identifier": "https://www.hzdr.de/publications/Publ-43156", 
        "scheme": "url"
      }, 
      {
        "relation": "isVersionOf", 
        "identifier": "10.14278/rodare.4567", 
        "scheme": "doi"
      }
    ], 
    "communities": [
      {
        "id": "rodare"
      }
    ], 
    "doc_id": "1", 
    "relations": {
      "version": [
        {
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "4739"
          }, 
          "index": 4, 
          "count": 6, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "4567"
          }, 
          "is_last": false
        }
      ]
    }, 
    "access_right": "open", 
    "license": {
      "id": "Apache-2.0"
    }, 
    "access_right_category": "success", 
    "pub_id": "43156", 
    "doi": "10.14278/rodare.4734", 
    "creators": [
      {
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf (HZDR)", 
        "name": "Lopes Junior, Enio", 
        "orcid": "0000-0002-7604-3205"
      }, 
      {
        "affiliation": "Helmholtz-Zentrum Dresden-Rossendorf (HZDR)", 
        "name": "Reinecke, Sebastian", 
        "orcid": "0000-0003-2705-0692"
      }
    ], 
    "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.", 
    "publication_date": "2026-06-24", 
    "keywords": [
      "Neural Model Predictive Control", 
      "Recurrent Neural Networks", 
      "Long Short-Term Memory", 
      "RNN", 
      "LSTM", 
      "MPC", 
      "Nonlinear Model Predictive Control", 
      "Linear Model Predictive Control"
    ], 
    "version": "v3.0.0"
  }, 
  "revision": 6, 
  "conceptdoi": "10.14278/rodare.4567", 
  "owners": [
    1035
  ], 
  "links": {
    "badge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.4734.svg", 
    "doi": "https://doi.org/10.14278/rodare.4734", 
    "conceptbadge": "https://rodare.hzdr.de/badge/doi/10.14278/rodare.4567.svg", 
    "conceptdoi": "https://doi.org/10.14278/rodare.4567", 
    "bucket": "https://rodare.hzdr.de/api/files/a5b37987-6fa5-4c55-b321-feb6f68292e9", 
    "html": "https://rodare.hzdr.de/record/4734", 
    "latest": "https://rodare.hzdr.de/api/records/4739", 
    "latest_html": "https://rodare.hzdr.de/record/4739"
  }
}