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SD-ARX modeling and robust MPC with variable feedback gain for nonlinear systems

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成果类型:
期刊论文
作者:
Zhou, Feng;Xi, Yanhui;Zhu, Peidong
通讯作者:
Xi, YH
作者机构:
[Zhou, Feng; Zhu, Peidong] Changsha Univ, Sch Elect Informat & Elect Engn, Changsha, Hunan, Peoples R China.
[Xi, Yanhui] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, Changsha, Hunan, Peoples R China.
[Zhu, Peidong] Natl Univ Def Technol, Coll Comp Sci & Technol, Changsha, Peoples R China.
[Xi, Yanhui] Changsha Univ Sci & Technol, Sch Elect & Informat Engn, 45,Chiling Rd, Changsha 410076, Hunan, Peoples R China.
通讯机构:
[Xi, YH ] C
Changsha Univ Sci & Technol, Sch Elect & Informat Engn, 45,Chiling Rd, Changsha 410076, Hunan, Peoples R China.
语种:
英文
关键词:
State-dependent ARX model;variable feedback gain;robust model predictive control;parameter variation rate;robustness and stability
期刊:
MEASUREMENT & CONTROL
ISSN:
0020-2940
年:
2023
基金类别:
National Natural Science Foundation of China [52377168, 61903049]; Education Department of Hunan Province, China [21B0776]; Natural Science Foundation of Hunan Provincial, China [2020JJ5622]
机构署名:
本校为通讯机构
院系归属:
电气与信息工程学院
摘要:
Measurement and Control, Ahead of Print. As a generalized input-output model, the state-dependent exogenous variable autoregressive (SD-ARX) model has been intensively utilized to model complex nonlinear systems. Considering that more freedom can be provided by the state feedback control with variable feedback gain for constructing robust controllers, we propose a robust model predictive control (RMPC) algorithm with variable feedback gain on the basis of the SD-ARX model. First, the polytopic state space models (SSMs) of the system are constructed and the prediction accuracy of the SSMs is fu...

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