Stars
Embedded Firmware Control Systems Toolbox (Pure C and GNU Octave)
A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Koopman Reduced-Order Nonlinear Identification and Control
Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C. David Remy, and Ram Vasudevan.
Solver for Large-Scale Rank-One Semidefinite Relaxations
This repository contains lecture notes and codes for the course "Computational Methods for Data Science"
Compressive dynamic mode decomposition with control for compressive system identification
Demo implementation of Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Tutorials on statistical model fitting (optimization, Bayesian inference) for Day 2 of BAMB! 2022.
Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"