
Semidefinite programming-based methods for control and safety verification of uncertain nonlinear dynamical systems. (Image courtesy of the instructor.)
Instructor(s)
Dr. Ashkan M. Jasour
MIT Course Number
16.S498
As Taught In
Fall 2019
Level
Graduate
Course Description
Course Features
Course Description
In this course, Dr. Ashkan Jasour addresses advanced probabilistic and robust optimization-based techniques for control and safety verification of nonlinear dynamical systems in the presence of uncertainties. Specifically, we will learn how to leverage rigorous mathematical tools, such as the theory of measures and moments, the theory of nonnegative polynomials, and semidefinite programming, to develop convex optimization formulations to control and analyze uncertain nonlinear dynamical systems with applications in autonomous systems and robotics.