Self-triggered Model Predictive Control for continuous-time systems: A multiple discretizations approach

Kazumune Hashimoto; Shuichi Adachi; Dimos V. Dimarogonas

doi:10.1109/CDC.2016.7798730

Self-triggered Model Predictive Control for continuous-time systems: A multiple discretizations approach

Kazumune Hashimoto, Shuichi Adachi, Dimos V. Dimarogonas

Department of Applied Physics and Physico-Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

In this paper, we propose a new self-triggered formulation of Model Predictive Control for continuous-time linear networked control systems. Our control approach, which aims at reducing the number of transmitting control samples to the plant, is derived by parallelly solving optimal control problems with different sampling time intervals. The controller then picks up one sampling pattern as a transmission decision, such that a reduction of communication load and the stability will be obtained. The proposed strategy is illustrated through comparative simulation examples.

Original language	English
Title of host publication	2016 IEEE 55th Conference on Decision and Control, CDC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3078-3083
Number of pages	6
ISBN (Electronic)	9781509018376
DOIs	https://doi.org/10.1109/CDC.2016.7798730
Publication status	Published - 2016 Dec 27
Event	55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States Duration: 2016 Dec 12 → 2016 Dec 14

Other

Other	55th IEEE Conference on Decision and Control, CDC 2016
Country	United States
City	Las Vegas
Period	16/12/12 → 16/12/14

ASJC Scopus subject areas

Artificial Intelligence
Decision Sciences (miscellaneous)
Control and Optimization

Access to Document

10.1109/CDC.2016.7798730

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Self-triggered Model Predictive Control for continuous-time systems : A multiple discretizations approach. / Hashimoto, Kazumune; Adachi, Shuichi; Dimarogonas, Dimos V.

2016 IEEE 55th Conference on Decision and Control, CDC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 3078-3083 7798730.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hashimoto, K, Adachi, S & Dimarogonas, DV 2016, Self-triggered Model Predictive Control for continuous-time systems: A multiple discretizations approach. in 2016 IEEE 55th Conference on Decision and Control, CDC 2016., 7798730, Institute of Electrical and Electronics Engineers Inc., pp. 3078-3083, 55th IEEE Conference on Decision and Control, CDC 2016, Las Vegas, United States, 16/12/12. https://doi.org/10.1109/CDC.2016.7798730

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