Instant Distributed Model Predictive Control for Constrained Linear Systems

Martin Figura, Lanlan Su, Vijay Gupta, Masaki Inoue

研究成果: Conference contribution

抄録

Distributed optimal control has emerged as an exciting possibility; however, existing algorithms tend to require excessive computational time and thus may not be able to stabilize systems with fast dynamics. We develop instant distributed model predictive control (iDMPC) with a realization of the primal-dual algorithm embedded in the controller dynamics. Under assumptions on fast communication, we show that the input and state trajectories of iDMPC are equivalent to a centralized suboptimal MPC scheme. We utilize a dissipativity analysis to show that the closed-loop system trajectories asymptotically converge to a desired reference.

本文言語English
ホスト出版物のタイトル2020 American Control Conference, ACC 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4582-4587
ページ数6
ISBN(電子版)9781538682661
DOI
出版ステータスPublished - 2020 7
イベント2020 American Control Conference, ACC 2020 - Denver, United States
継続期間: 2020 7 12020 7 3

出版物シリーズ

名前Proceedings of the American Control Conference
2020-July
ISSN(印刷版)0743-1619

Conference

Conference2020 American Control Conference, ACC 2020
CountryUnited States
CityDenver
Period20/7/120/7/3

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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