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Adaptive MPC of a class of Switched Linear Systems with Unknown System Matrices

  • Hui Chen*
  • , Licheng Sun
  • , Hongbin Ma
  • *此作品的通讯作者
  • Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

This paper presents an adaptive model predictive control for a class of switched linear stochastic systems with unknown system matrices. The proposed adaptive MPC is designed by solving a finite horizon constrained linear-quadratic optimal control problem of on-line estimated models, which are built on a switching recursive weighted least-squares (WLS) algorithm together with a random regularization method. By incorporating an attenuating excitation signal into adaptive MPC, the switched system satisfies the state constraints and control constraints after finite steps.

源语言英语
主期刊名Proceedings of the 43rd Chinese Control Conference, CCC 2024
编辑Jing Na, Jian Sun
出版商IEEE Computer Society
页942-949
页数8
ISBN(电子版)9789887581581
DOI
出版状态已出版 - 2024
活动43rd Chinese Control Conference, CCC 2024 - Kunming, 中国
期限: 28 7月 2024 → 31 7月 2024

丛书

姓名Chinese Control Conference, CCC
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议43rd Chinese Control Conference, CCC 2024
国家/地区中国
市Kunming
时期28/07/24 → 31/07/24

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