Optimal mean-square performance controller synthesis for MIMO networked systems with unreliable communication

Matt Rich, Nicola Elia

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

Abstract

This paper addresses optimal mean-square performance output feedback controller synthesis for multiple-input multiple-output (MIMO) linear systems subject to exogenous noise as well as communication dropouts on both the actuators and sensors. We are able to design optimal mean-square performance controllers for such systems convexly under certain information processing constraints on the controller which include a one step delayed acknowledgment from the actuator receiver available at the controller. Moreover, the synthesis result is achieved via a separation analogous to the classical H2 synthesis results.

Original languageEnglish (US)
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7123-7128
Number of pages6
ISBN (Electronic)9781467386821
DOIs
StatePublished - Jul 28 2016
Externally publishedYes
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: Jul 6 2016Jul 8 2016

Publication series

NameProceedings of the American Control Conference
Volume2016-July
ISSN (Print)0743-1619

Other

Other2016 American Control Conference, ACC 2016
Country/TerritoryUnited States
CityBoston
Period7/6/167/8/16

Bibliographical note

Funding Information:
This work was supported by NSF grant CNS-1239319.

Publisher Copyright:
© 2016 American Automatic Control Council (AACC).

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