Python and MATLAB codebase for performing second-order system identification from time-domain data of a systems dynamic response to a decreasing step input function.

Physically-informed model discovery of systems with nonlinear, rational terms using the SINDy-PI method. Contains functionality for spectral filtering/differentiation.

A collection of Matlab routines for illustrating methods for identifying Radial Basis Function (Neural) Network models for NARX-type nonlinear dynamical systems from data, incorporating prior information about the system's fixed points.

Parametric PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)

Sparse variational Gaussian process state-space models in PyTorch & Pyro. Research-grade, ready-to-use GP-SSM baseline.

Explore the double-descent phenomena in the context of system identification. Companion code to the paper (https://arxiv.org/abs/2012.06341):

Code for the paper "Identifying time lag in dynamical systems with copula entropy based transfer entropy"

Identification of a Synchronous Machine System

For my study of the use of local measurement data in multi-vehicle formation control policies.

Experiments and derivations for CDC2022 paper on message passing-based inference for NARMAX system identification.

Moirai frontend

Online system identification in Silverbox by minimising free energy

Matlab implementation of Wiener Filter and Lms Adaptive Filtering

R package pmhtutorial available from CRAN.

For research into the application of Koopman operators at Boston University.

This code can be used to reproduce the results in our paper ``Data-conforming data-driven control: avoiding premature generalizations beyond data''

Modeling and control of a DC motor using state feedback, integral control, and observer-based output feedback.

Optimization of Laguerre-Volterra networks for nonlinear dynamic system identification using diverse metaheuristics