Design of stabilizing output feedback nonlinear model predictive controllers with an application to DC-DC converters

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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 languageEnglish
Title of host publicationProceedings of the 9th European Control Conference (ECC 2007) 2-5 July 2007, Island of Kos, Greece
Pages2999-3004
Publication statusPublished - 2007

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