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
(19.1 MB)
| Name | Size | |
|---|---|---|
|
hzdr/neural-mpcx-v3.1.6.zip
md5:90312aef42e695d09b91b3eda4f1f990 |
19.1 MB | Download |
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downloads
| All versions | This version | |
|---|---|---|
| Views | 4,288 | 49 |
| Downloads | 222 | 15 |
| Data volume | 1.8 GB | 285.8 MB |
| Unique views | 3,685 | 35 |
| Unique downloads | 180 | 15 |
Available in
- Publication date:
- October 30, 2026
- DOI:
-
- Related identifiers:
- Supplement to:
https://github.com/hzdr/neural-mpcx/tree/v3.1.6 - Communities:
- License (for files):
- Apache License 2.0