10.553
Model Predictive Control
Provides an introduction to the multivariable control of dynamical systems with constraints on manipulated, state, and output variables. Covers multiple mathematical formulations that are popular in academia and industry, including dynamic matrix control and state-space model predictive control of uncertain, nonlinear, and large-scale systems. Uses numerous real industrial processes as examples. Students taking graduate version complete additional assignments.
Prerequisites & course information
Subject meets with 10.353 Prereq: None G (Fall) Not offered regularly; consult department 3-0-9 units
Sources
- Course catalogue ↗2026–2027