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
(385.2 kB)
| Name | Size | |
|---|---|---|
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hzdr/neural-mpcx-v1.0.0.zip
md5:29bf769048de787401b272ba7ae61011 |
385.2 kB | Download |
358
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| All versions | This version | |
|---|---|---|
| Views | 358 | 195 |
| Downloads | 9 | 5 |
| Data volume | 3.7 MB | 1.9 MB |
| Unique views | 335 | 183 |
| Unique downloads | 8 | 5 |
Available in
- Publication date:
- March 20, 2026
- DOI:
-
- Related identifiers:
- Identical to:
https://www.hzdr.de/publications/Publ-43156 - Supplement to:
https://github.com/hzdr/neural-mpcx/tree/v1.0.0 - Communities:
- License (for files):
- Apache License 2.0