MECENG 230A
Predictive Control
Advanced optimization, polyhedra manipulation, and multiparametric programming. Robust Invariant set theory. Analysis and design of model predictive controllers (MPC) for linear and nonlinear systems. Stochastic MPC. Learning MPC. 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 model predictive control. 80% will be focusing on advanced theory. 20% on applications.
- At the end of the course, the students will write a theoretical paper on MPC and/or will design an application where the advanced theory is implemented.
Official catalogue course objectives and student learning outcomes
Sources
- Course catalogue ↗2026-2027