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
(797.5 kB)
| Name | Size | |
|---|---|---|
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hzdr/neural-mpcx-v3.0.2.zip
md5:18375e0f7d1db79dbd9682423051774b |
797.5 kB | Download |
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| All versions | This version | |
|---|---|---|
| Views | 1,229 | 19 |
| Downloads | 37 | 1 |
| Data volume | 15.3 MB | 797.5 kB |
| Unique views | 1,144 | 19 |
| Unique downloads | 31 | 1 |
Available in
- Publication date:
- August 4, 2026
- DOI:
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- Related identifiers:
- Supplement to:
https://github.com/hzdr/neural-mpcx/tree/v3.0.2 - Communities:
- License (for files):
- Apache License 2.0