Risk Aware and Robust Nonlinear Planning

math diagram of semidefinite programming

Semidefinite programming-based methods for control and safety verification of uncertain nonlinear dynamical systems. (Image courtesy of the instructor.)

Instructor(s)

MIT Course Number

16.S498

As Taught In

Fall 2019

Level

Graduate

Cite This Course

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.

Related Content

Ashkan Jasour. 16.S498 Risk Aware and Robust Nonlinear Planning. Fall 2019. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.


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