YoVDO

Koopman Analysis

Offered By: Steve Brunton via YouTube

Tags

Mathematics Courses Spectral Analysis Courses Nonlinear Dynamics Courses Compressed Sensing Courses

Course Description

Overview

Dive into a comprehensive 3.5-hour lecture series on Koopman Analysis, exploring its applications in nonlinear dynamics, control theory, and data-driven modeling. Learn about Koopman Observable Subspaces, finite linear representations of nonlinear dynamics, optimal control strategies, and the connection to compressed sensing and Dynamic Mode Decomposition. Discover the Hankel Alternative View of Koopman (HAVOK) analysis and its applications to real-world phenomena such as magnetic field reversals and measles outbreaks. Explore linear models for chaotic systems like the Lorenz system, and delve into Koopman Spectral Analysis, covering topics such as control, representations, continuous spectrum, and multiscale systems.

Syllabus

Koopman Observable Subspaces & Finite Linear Representations of Nonlinear Dynamics for Control.
Koopman Observable Subspaces & Nonlinearization.
Koopman Operator Optimal Control.
Compressed Sensing and Dynamic Mode Decomposition.
Hankel Alternative View of Koopman (HAVOK) Analysis [FULL].
Hankel Alternative View of Koopman (HAVOK) Analysis [SHORT].
Magnetic field reversal and Measles outbreaks: HAVOK models of chaos.
Linear model for chaotic Lorenz system [HAVOK].
Koopman Spectral Analysis (Control).
Koopman Spectral Analysis (Representations).
Koopman Spectral Analysis (Overview).
Koopman Spectral Analysis (Continuous Spectrum).
Koopman Spectral Analysis (Multiscale systems).


Taught by

Steve Brunton

Related Courses

Biological Engineering: Cellular Design Principles
Purdue University via edX
Nonlinear Dynamics: Mathematical and Computational Approaches
Santa Fe Institute via Complexity Explorer
Underactuated Robotics
Massachusetts Institute of Technology via edX
Nonlinear Dynamics 1: Geometry of Chaos
Georgia Institute of Technology via Independent
Introduction to Nonlinear Dynamics
Indian Institute of Technology Madras via Swayam