Data-Driven Control - Linear System Identification

Data-Driven Control - Linear System Identification

Explore linear system identification and model reduction in this concise 20-minute lecture. Learn how to obtain reduced-order models from data that optimally capture input-output dynamics. Gain insights into data-driven control techniques and their applications in engineering and science. Presented by Steve Brunton, this overview lecture provides a solid foundation for understanding the principles of linear system identification and its role in modern control theory.