A synthesis approach for output feedback robust constrained model predictive control

This paper addresses the synthesis approach to output feedback robust model predictive control for systems with polytopic description, bounded state disturbance and measurement noise. Off-line, it calculates a sequence of output feedback laws based-on the state estimators, by solving linear matrix inequality (LMI) optimization problems. On-line, at each sampling time, it chooses an appropriate output feedback law from this sequence. The primary contribution is to present a rigorous way to guarantee satisfaction of input/state constraints. A numerical example is given to illustrate the effectiveness of the controller. Key words: Robust model predictive control; output feedback; state estimator; constraint.

• Type: Journal
• Year: 2008
• Where: AUTOMATICA
• Authors: BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thomas O'Mahony
• Keywords: AUTOMATICA 2008, Model Predictive Control, Output Feedback Law, Robust Model