Abstract
Abstract—This paper focuses on the synthesis of nonlinear
Model Predictive Controllers that can guarantee robustness
with respect to measurement noise. The input-to-state stability
framework is employed to analyze the robustness of the resulting
Model Predictive Control (MPC) closed-loop system. It is
illustrated how the obtained robustness result can be employed
to synthesize asymptotically stabilizing observer-based outputfeedback
nonlinear MPC controllers for a class of nonlinear
discrete-time systems. The developed theory is illustrated by
applying it to control a Buck-Boost DC-DC converter
Original language | English |
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Title of host publication | Proceedings of the 9th European Control Conference (ECC 2007) 2-5 July 2007, Island of Kos, Greece |
Pages | 2999-3004 |
Publication status | Published - 2007 |