Self-triggered nonlinear model predictive control for networked control systems

Kazumune Hashimoto, Shuichi Adachi, Dimos V. Dimarogonas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4239-4244
Number of pages6
Volume2015-July
ISBN (Print)9781479986842
DOIs
Publication statusPublished - 2015 Jul 28
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: 2015 Jul 12015 Jul 3

Other

Other2015 American Control Conference, ACC 2015
CountryUnited States
CityChicago
Period15/7/115/7/3

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Hashimoto, K., Adachi, S., & Dimarogonas, D. V. (2015). Self-triggered nonlinear model predictive control for networked control systems. In Proceedings of the American Control Conference (Vol. 2015-July, pp. 4239-4244). [7171995] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2015.7171995