首页|Finite-Time Stabilization for Constrained Discrete-time Systems by Using Model Predictive Control

Finite-Time Stabilization for Constrained Discrete-time Systems by Using Model Predictive Control

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In this paper,a model predictive control(MPC)framework is proposed for finite-time stabilization of linear and nonlinear discrete-time systems subject to state and control con-straints.The proposed MPC framework guarantees the finite-time convergence property by assigning the control horizon equal to the dimension of the overall system,and only penalizing the terminal cost in the optimization,where the stage costs are not penalized explicitly.A terminal inequality constraint is added to guarantee the feasibility and stability of the closed-loop system.Initial feasibility can be improved via augmentation.The finite-time convergence of the proposed MPC is proved theoretically,and is supported by simulation examples.

Constraintsdeadbeat controlfinite-time stabiliza-tionmodel predictive control(MPC)

Bing Zhu、Xiaozhuoer Yuan、Li Dai、Zhiwen Qiang

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Seventh Research Division,Beihang University,Beijing 100191,China

School of Automation,Beijing Institute of Technology,Beijing 100081,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of China

620730156217303662122014

2024

10.1109/JAS.2024.124212

自动化学报(英文版)
中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI
ISSN：2329-9266
年,卷(期)：2024.11(7)