Output Feedback Robust <scp>EMPC</scp> of Constrained Nonlinear Systems Using Set‐Valued Estimation

ABSTRACT This work proposes an output feedback robust economic model predictive control scheme for constrained nonlinear systems subject to additive disturbances and the estimation error. Through a robustly stable observer, the estimation error set is updated at each sampling instant. We propose a set‐valued estimation approach based on optimization to enhance output feedback and improve closed‐loop economic performance. The homothetic tube approach is utilized to constrain predicted trajectories with uncertainties in order to ensure closed‐loop robust constraints. We prove the recursive feasibility of the optimization control problem and the bounded stability of the closed‐loop system. Simulation results verify the advantages of the proposed scheme.

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Publication Details

Journal
Optimal Control Applications and Methods
Published
2025-11-24
DOI
https://doi.org/10.1002/oca.70056
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Output Feedback Robust EMPC of Constrained Nonlinear Systems Using Set‐Valued Estimation

Yaji Huang, Defeng He, Lei Zhang
Optimal Control Applications and Methods
Advanced Control Systems Optimization
article

Output Feedback Robust EMPC of Constrained Nonlinear Systems Using Set‐Valued Estimation

Yaji Huang, Defeng He, Lei Zhang
article en

Abstract

ABSTRACT This work proposes an output feedback robust economic model predictive control scheme for constrained nonlinear systems subject to additive disturbances and the estimation error. Through a robustly stable observer, the estimation error set is updated at each sampling instant. We propose a set‐valued estimation approach based on optimization to enhance output feedback and improve closed‐loop economic performance. The homothetic tube approach is utilized to constrain predicted trajectories with uncertainties in order to ensure closed‐loop robust constraints. We prove the recursive feasibility of the optimization control problem and the bounded stability of the closed‐loop system. Simulation results verify the advantages of the proposed scheme.

Optimal Control Applications and MethodsVol. 47(1)
Zhejiang University of Technology (CN)
Openalex Percentile: Top 55%
Advanced Control Systems Optimization
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