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.
Overview
Syllabus
Data-Driven Control: Linear System Identification
Taught by
Steve Brunton
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