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Explore the mathematical foundations of linear control theory in this comprehensive video lecture. Delve into the analysis of linear systems of ordinary differential equations using eigenvalues and eigenvectors. Learn how these concepts form the basis for understanding and controlling dynamic systems. Access additional resources, including chapter materials from "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz, to deepen your understanding of the subject matter. Gain valuable insights into the fundamental principles that underpin modern control systems and their applications in various engineering disciplines.
