Self-triggered model predictive control with adaptive selection of sampling number

Di Cui, Huiping Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

6 引用 (Scopus)

摘要

The model predictive control (MPC) of Cyber-Physical-Systems (CPSs) suffer from the drawbacks of heavy communication and computation cost. This paper studies the self-triggered model predictive control (STMPC) problem for continuous-time nonlinear systems subject to system constraints under cyber-physical scenarios. A novel STMPC strategy is proposed which allows adaptively to select sampling number during two triggering time instants, and new self-triggered condition is designed. Furthermore, the feasibility of the designed algorithm and the closed-loop stability is theoretically ensured. We show that the closed-loop system is asymptotically stable under the proposed self-triggered strategy. Finally, a simulation example is provided to verify the effectiveness of the proposed algorithm.

源语言英语
主期刊名Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
出版商Institute of Electrical and Electronics Engineers Inc.
802-807
页数6
ISBN(电子版)9781538685006
DOI
出版状态已出版 - 5月 2019
活动2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019 - Taipei, 中国台湾
期限: 6 5月 20199 5月 2019

出版系列

姓名Proceedings - 2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019

会议

会议2019 IEEE International Conference on Industrial Cyber Physical Systems, ICPS 2019
国家/地区中国台湾
Taipei
时期6/05/199/05/19

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