Software Open Access
NeuralMPCX: A Model Predictive Control library that supports classic MPC and neural MPC with CasADi
Lopes Junior, Enio;
Reinecke, Sebastian
Citation Style Language JSON Export
{
"DOI": "10.14278/rodare.4601",
"author": [
{
"family": "Lopes Junior, Enio"
},
{
"family": "Reinecke, Sebastian"
}
],
"issued": {
"date-parts": [
[
2026,
4,
10
]
]
},
"id": "4601",
"publisher": "Rodare",
"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.",
"title": "NeuralMPCX: A Model Predictive Control library that supports classic MPC and neural MPC with CasADi",
"type": "article",
"version": "v1.1.0"
}
499
16
views
downloads
| 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 |
Available in
- Publication date:
- April 10, 2026
- DOI:
-
- Keyword(s):
- Neural Model Predictive Control Recurrent Neural Networks Long Short-Term Memory RNN LSTM MPC Nonlinear Model Predictive Control Linear Model Predictive Control
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-43156 - Supplement to:
https://github.com/hzdr/neural-mpcx/tree/v1.1.0 - Communities:
- License (for files):
- Apache License 2.0