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 |
2,996
121
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 2,996 | 131 |
| Downloads | 121 | 3 |
| Data volume | 686.1 MB | 40.3 MB |
| Unique views | 2,663 | 123 |
| Unique downloads | 99 | 3 |
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