Self-triggered nonlinear model predictive control for networked control systems

Kazumune Hashimoto, Shuichi Adachi, Dimos V. Dimarogonas

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

In this paper, we propose a self-triggered formulation of Model Predictive Control for continuous-time nonlinear networked control systems. Our control method derives not only when to execute control tasks but also provides the way to discretize the optimal control trajectory so as to alleviate the communication burden as much as possible. Stability analysis under the sample-and-hold implementation is also given in detail, which guarantees that the state converges to a terminal region where the local linear state feedback can stabilize the system. A simulation example verifies our proposed framework.

本文言語English
ホスト出版物のタイトルACC 2015 - 2015 American Control Conference
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4239-4244
ページ数6
ISBN(電子版)9781479986842
DOI
出版ステータスPublished - 2015 7月 28
イベント2015 American Control Conference, ACC 2015 - Chicago, United States
継続期間: 2015 7月 12015 7月 3

出版物シリーズ

名前Proceedings of the American Control Conference
2015-July
ISSN(印刷版)0743-1619

Other

Other2015 American Control Conference, ACC 2015
国/地域United States
CityChicago
Period15/7/115/7/3

ASJC Scopus subject areas

  • 電子工学および電気工学

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