forgi86/sysid-neural-estimator

Stars
10
Rank 1,807,489 (Top 36 %)
Language
Python
License
MIT License
Created over 2 years ago
Updated over 1 year ago

forgi86/sysid-neural-estimator

forgi86

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"

pyMPC

A Model Predictive Control (MPC) Python library based on the OSQP solver.

dynonet

"dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga

sysid-neural-continuous

Continuous-time system identification with neural networks

efficient-calibration-embedded-MPC

Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad

pytorch-ident

System identification in PyTorch

sysid-transfer-functions-pytorch

Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"

sysid-neural-structures-fitting

Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dario Piga.

lru-reduction

Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach

sysid-transformers

Code to reproduce the results of the paper In-context learning for model-free system identification

Jupyter Notebook

RNN-adaptation

Code accompanying the paper "On the adaptation of recurrent neural networks for system identification"

sysid-neural-unc

Code of the paper "Neural state-space models: Empirical evaluation of uncertainty quantification"

jax-ident

An experimental code base for system identification with Jax.

sysid-transformers-transfer

Code of the paper "On the adaptation of in-context learners for system identification" by Dario Piga, Filippo Pura, and Marco Forgione

Jupyter Notebook

python-data-science-slides

An introduction to data processing & visualization with numpy, pandas, matplotlib, and plotly express

Jupyter Notebook

bayesian-optimization-examples

Bayesian Optimization examples

sysid-pytorch-lru

Unofficial PyTorch implementation of DeepMind's LRU with a system identification example.

Jupyter Notebook

multilevel-excitation

Codes accompanying the paper "Experiment design for parameter estimation in nonlinear systems based on multilevel excitation"

calcolo_mutuo