OPTIMAL CONTROL AND VARIATIONAL METHODS
Variational principles in optimization and optimal control, constrained control and reachability analysis, stability of optimal control, data-driven methods for optimal control. Knowledge of linear systems [such as E C E 717 ] strongly encouraged.
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Identify appropriate notions of optimality for controls in autonomous systems Audience: Graduate 2. Formulate optimal control problems in a rigorous mathematical framework Audience: Graduate 3. Use systematic design procedures for optimal controls Audience: Graduate 4. Use data driven optimal control for dynamical systems Audience: Graduate Learning Outcomes: 1. Identify appropriate notions of optimality for controls in autonomous systems Audience: Graduate 2. Formulate optimal control problems in a rigorous mathematical framework Audience: Graduate 3. Use systematic design procedures for optimal controls Audience: Graduate 4. Use data driven optimal control for dynamical systems Audience: Graduate
Sources
- Course catalogue ↗2026-2027