Tube-based robust contractive economic model predictive control

This paper proposes a novel tube-based economic model predictive control (EMPC) framework for constrained systems subject to unknown but bounded disturbances. To account for the influence of disturbances on system performance, an error system between the actual plant and the nominal model as well as its robust invariant set is first derived. A nominal economic optimization problem is then formulated using a specially designed integrated economic cost function and tightened constraint sets, where a contractive constraint is constructed online to guarantee convergence of the nominal system states. Based on the solution of the nominal optimization problem, a state-feedback control law is applied to keep the actual trajectories within a robust invariant tube around the nominal trajectories. The recursive feasibility and robust stability are rigorously analyzed. Simulation results demonstrate the effectiveness of the proposed strategy.

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Publication Details

Journal
IET conference proceedings.
Published
2026-05-01
DOI
https://doi.org/10.1049/icp.2026.1843
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

Tube-based robust contractive economic model predictive control

Jinze Xue, Jie Wu, Fei Liu
IET conference proceedings.
Advanced Control Systems Optimization
article

Tube-based robust contractive economic model predictive control

Jinze Xue, Jie Wu, Fei Liu
article en

Abstract

This paper proposes a novel tube-based economic model predictive control (EMPC) framework for constrained systems subject to unknown but bounded disturbances. To account for the influence of disturbances on system performance, an error system between the actual plant and the nominal model as well as its robust invariant set is first derived. A nominal economic optimization problem is then formulated using a specially designed integrated economic cost function and tightened constraint sets, where a contractive constraint is constructed online to guarantee convergence of the nominal system states. Based on the solution of the nominal optimization problem, a state-feedback control law is applied to keep the actual trajectories within a robust invariant tube around the nominal trajectories. The recursive feasibility and robust stability are rigorously analyzed. Simulation results demonstrate the effectiveness of the proposed strategy.

IET conference proceedings.Vol. 2025(51)
Jiangnan University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 6%
Advanced Control Systems Optimization
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