Nonlinear Control: Hamilton Jacobi Bellman (HJB) and Dynamic Programming

This video discusses optimal nonlinear control using the Hamilton Jacobi Bellman (HJB) equation, and how to solve this using dynamic programming. Citable link for this video: https://doi.org/10.52843/cassyni.4t5069 This is a lecture in a series on reinforcement learning, following the new Chapter 11 from the 2nd edition of our book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz Book Website: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098/ Brunton Website: eigensteve.com This video was produced at the University of Washington