• Stars
    star
    24
  • Rank 986,245 (Top 20 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created almost 5 years ago
  • Updated about 3 years ago

Reviews

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

Repository Details

Continuous-time system identification with neural networks

More Repositories

1

pyMPC

A Model Predictive Control (MPC) Python library based on the OSQP solver.
Python
189
star
2

dynonet

"dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga
Python
42
star
3

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
Python
24
star
4

pytorch-ident

System identification in PyTorch
Python
23
star
5

sysid-transfer-functions-pytorch

Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"
Python
19
star
6

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.
Python
19
star
7

lru-reduction

Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach
Python
12
star
8

sysid-transformers

Code to reproduce the results of the paper In-context learning for model-free system identification
Jupyter Notebook
12
star
9

sysid-neural-estimator

Code accompanying the paper "Learning neural state-space models: do we need a state estimator?"
Python
10
star
10

RNN-adaptation

Code accompanying the paper "On the adaptation of recurrent neural networks for system identification"
Python
9
star
11

sysid-neural-unc

Code of the paper "Neural state-space models: Empirical evaluation of uncertainty quantification"
Python
5
star
12

jax-ident

An experimental code base for system identification with Jax.
Python
4
star
13

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
3
star
14

python-data-science-slides

An introduction to data processing & visualization with numpy, pandas, matplotlib, and plotly express
Jupyter Notebook
2
star
15

bayesian-optimization-examples

Bayesian Optimization examples
Python
2
star
16

sysid-pytorch-lru

Unofficial PyTorch implementation of DeepMind's LRU with a system identification example.
Jupyter Notebook
2
star
17

multilevel-excitation

Codes accompanying the paper "Experiment design for parameter estimation in nonlinear systems based on multilevel excitation"
MATLAB
1
star
18

calcolo_mutuo

Python
1
star