Data-Driven Dynamical Systems Overview

Explore a comprehensive overview of data-driven dynamical systems in this 22-minute video lecture by Steve Brunton. Delve into the modern challenges faced in dynamical systems and discover emerging techniques in data science and machine learning used to address them. Learn about the two primary challenges: nonlinear dynamics and unknown or partially known dynamics, and how machine learning provides powerful solutions for both. Gain insights into future state prediction, control, and intuition in dynamical systems. The lecture covers various topics including an introduction to dynamical systems, data-driven approaches, and concludes with a discussion on future techniques and applications. Visit www.eigensteve.com for more information on the presenter's work in this field.

Introduction
Dynamical Systems
Challenges
DataDriven Systems
Future State Prediction
Control
Intuition
Techniques
Conclusion