This lecture provides an overview of model predictive control (MPC), which is one of the most powerful and general control frameworks. MPC is used extensively in industrial control settings, and can be used with nonlinear systems and systems with constraints on the state or actuation input.
Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
E. Kaiser, J. N. Kutz, and S. L. Brunton, arxiv 2017.
https://arxiv.org/abs/1711.05501
Code: https://github.com/eurika-kaiser/SINDY-MPC
https://www.eigensteve.com/
This video was produced at the University of Washington