Advanced Special Subject in Humans and Automation
Organized lecture or laboratory subject consisting of material not available in regularly scheduled subjects. Prior approval required.
Fall 2019 · Risk Aware and Robust Nonlinear Planning
In this course, {{% resource_link "aa7d2d10-c19e-4ab2-a629-d7d4bfc1f759" "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.
Prerequisites & course information
Prereq: Permission of instructor G (Fall, Spring) Not offered regularly; consult department Units arranged Can be repeated for credit.
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Fall 2019
- MIT OCW calendar ↗
- MIT OCW syllabus ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.