Time-constrained event-triggered Model Predictive Control for nonlinear continuous-time systems

Kazumune Hashimoto, Shuichi Adachi, Dimos V. Dimarogonas

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

11 Citations (Scopus)

Abstract

In this paper we propose a new event-triggered scheme for nonlinear continuous-time systems with additive bounded disturbances. Unlike existing results, the proposed event-triggered strategy is not derived from Lyapunov stability analysis. Instead, it is obtained from the time interval when the state reaches a local region around the origin. By guaranteeing that this time interval becomes smaller as the optimal control problem is solved, we ensure that the state converges to the prescribed set in finite time.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4326-4331
Number of pages6
Volume2016-February
ISBN (Print)9781479978861
DOIs
Publication statusPublished - 2016 Feb 8
Event54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan
Duration: 2015 Dec 152015 Dec 18

Other

Other54th IEEE Conference on Decision and Control, CDC 2015
CountryJapan
CityOsaka
Period15/12/1515/12/18

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ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Cite this

Hashimoto, K., Adachi, S., & Dimarogonas, D. V. (2016). Time-constrained event-triggered Model Predictive Control for nonlinear continuous-time systems. In Proceedings of the IEEE Conference on Decision and Control (Vol. 2016-February, pp. 4326-4331). [7402894] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2015.7402894