A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax

SIMBa

Virtual labs and mechanisms for studying controls.

A collection of teaching scripts showing applications of linear algebra to chemistry, computer science, mechanical engineering, and more.

Interactive courseware module that introduces transfer function analysis taught in system dynamics and controls courses.

A package for computing data-driven approximations to the Koopman operator.

Interactive courseware module that addresses the fundamentals of regression analysis taught in STEM courses.

Interactive courseware module that addresses fundamental matrix methods and linear systems taught in introductory linear algebra courses.

A courseware module that covers the fundamental concepts in probability theory and their implications in data science. Topics include probability, random variables, and Bayes' Theorem.

An awesome list of helpful resources for students learning MATLAB & Simulink. List includes tips & tricks, tutorials, videos, cheat sheets, and opportunities to learn MATLAB & Simulink .

Interactive courseware module that addresses common foundational-level concepts taught in statistics courses.

Systems Identification Package for PYthon

MATLAB toolbox for control 101 course

Matlab Algorithms for Randomized Linear Algebra

Virtual lab to study Kalman filter design with interactive exercises

Interactive courseware module that introduces typical workflow, setup, and considerations involved in solving regression problems with machine learning.

SLICOT System Identification Toolbox

This repo contains files used for my lecture in ACM-IIT Goa Winter School on Optimization

Koopman theory implemented using deep learning

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

A package for the sparse identification of nonlinear dynamical systems from data

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

Repo for AIML CEP 2021

Randomized algorithm class at CU

MATLAB LMPC implementation for a double integrator system

Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http:…

This repository contains MATLAB codes for randomized system identification.