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Finite-Time Stabilization for Constrained Discrete-time Systems by Using Model Predictive Control
Bing Zhu; Xiaozhuoer Yuan; Li Dai; Zhiwen Qiang
Source PublicationIEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2024
Volume11Issue:7Pages:1656-1666
AbstractIn 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 constraints. 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.
KeywordConstraints deadbeat control finite-time stabilization model predictive control (MPC)
DOI10.1109/JAS.2024.124212
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57309
Collection学术期刊_IEEE/CAA Journal of Automatica Sinica
Recommended Citation
GB/T 7714
Bing Zhu,Xiaozhuoer Yuan,Li Dai,et al. Finite-Time Stabilization for Constrained Discrete-time Systems by Using Model Predictive Control[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(7):1656-1666.
APA Bing Zhu,Xiaozhuoer Yuan,Li Dai,&Zhiwen Qiang.(2024).Finite-Time Stabilization for Constrained Discrete-time Systems by Using Model Predictive Control.IEEE/CAA Journal of Automatica Sinica,11(7),1656-1666.
MLA Bing Zhu,et al."Finite-Time Stabilization for Constrained Discrete-time Systems by Using Model Predictive Control".IEEE/CAA Journal of Automatica Sinica 11.7(2024):1656-1666.
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