Continuous-time system identification with neural networks

An experimental code base for system identification with Jax.

Animation engine for explanatory math videos

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

Baseline for benchmarks

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

Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)

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

System identification in PyTorch

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

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

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