MECENG 290J
Predictive Control for Linear and Hybrid Systems
Advanced optimization, polyhedra manipulation, and multiparametric programming. Invariant set theory. Analysis and design of constrained predictive controllers for linear and nonlinear systems. Computational oriented models of hybrid systems. Analysis and design of constrained predictive controllers for hybrid systems.
Topics
- The course is designed for graduate students who want to expand their knowledge on optimization-based control design. 50% will be focusing on advanced theory. 50% on applications.
- At the end of the course, the students will write a theoretical paper on MPC and will design an experiment where the theory is implemented.
Official catalogue course objectives and student learning outcomes
Prerequisites & course information
{'preRequisiteCourse': '1155741', 'concurrentPrerequisit': False}
Sources
- Course catalogue ↗2026-2027