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Localized and Distributed H₂ State Feedback Control

Yu, Jing and Wang, Yuh-Shyang and Anderson, James (2021) Localized and Distributed H₂ State Feedback Control. In: 2021 American Control Conference (ACC). IEEE , Piscataway, NJ, pp. 2732-2738. ISBN 978-1-6654-4197-1. https://resolver.caltech.edu/CaltechAUTHORS:20210826-151040236

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Abstract

Distributed linear control design is crucial for large-scale cyber-physical systems. It is generally desirable to both impose information exchange (communication) constraints on the distributed controller, and to limit the propagation of disturbances to a local region without cascading to the global network (localization). Recently proposed System Level Synthesis (SLS) theory provides a framework where such communication and localization requirements can be tractably incorporated in controller design and implementation. In this work, we derive a solution to the localized and distributed H₂ state feedback control problem without resorting to Finite Impulse Response (FIR) approximation. Our proposed synthesis algorithm allows a column-wise decomposition of the resulting convex program, and is therefore scalable to arbitrary large-scale networks. We demonstrate superior cost performance and computation time of the proposed procedure over previous methods via numerical simulation.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.23919/acc50511.2021.9483301DOIArticle
https://arxiv.org/abs/2010.02440arXivDiscussion Paper
ORCID:
AuthorORCID
Wang, Yuh-Shyang0000-0001-7357-7247
Anderson, James0000-0002-2832-8396
Alternate Title:Localized and Distributed H2 State Feedback Control
Additional Information:© 2021 AACC. J.Y. thanks Dimitar Ho for helpful discussions.
DOI:10.23919/acc50511.2021.9483301
Record Number:CaltechAUTHORS:20210826-151040236
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210826-151040236
Official Citation:J. Yu, Y. -S. Wang and J. Anderson, "Localized and Distributed H2 State Feedback Control," 2021 American Control Conference (ACC), 2021, pp. 2732-2738, doi: 10.23919/ACC50511.2021.9483301
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:110572
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:26 Aug 2021 16:38
Last Modified:26 Aug 2021 16:38

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