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
(17.8 MB)
| Name | Size | |
|---|---|---|
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hzdr/neural-mpcx-v3.1.5.zip
md5:9606be623ffebc2699c80aec43416183 |
17.8 MB | Download |
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| Views | 4,061 | 0 |
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| Unique downloads | 160 | 0 |
Available in
- Publication date:
- October 28, 2026
- DOI:
-
- Related identifiers:
- Supplement to:
https://github.com/hzdr/neural-mpcx/tree/v3.1.5 - Communities:
- License (for files):
- Apache License 2.0