Software Open Access
NeuralMPCX: A Model Predictive Control library that supports classic MPC and neural MPC with CasADi
Lopes-Júnior, Ênio;
Reinecke, Sebastian Felix
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.
Files
(13.4 MB)
| Name | Size | |
|---|---|---|
|
hzdr/neural-mpcx-v3.0.3.zip
md5:e0291d881422296743de244deb0f81b9 |
13.4 MB | Download |
3,904
187
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downloads
| All versions | This version | |
|---|---|---|
| Views | 3,904 | 179 |
| Downloads | 187 | 8 |
| Data volume | 1.4 GB | 107.5 MB |
| Unique views | 3,486 | 168 |
| Unique downloads | 150 | 8 |
Available in
- Publication date:
- August 27, 2026
- DOI:
-
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-43156 - Supplement to:
https://github.com/hzdr/neural-mpcx/tree/v3.0.3 - Communities:
- License (for files):
- Apache License 2.0