Optimal mean-square performance for MIMO networked systems

Matt Rich, Nicola Elia

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

7 Scopus citations

Abstract

This paper addresses optimal mean-square performance for multiple-input multiple-output (MIMO) linear time invariant (LTI) systems subject to exogenous noise and communication losses between the plant and controller. First we derive linear matrix inequalities (LMIs) for analysis of mean-square stability and performance, then we show how a pair of semidefinite programs (SDPs) can be used to convexly find the optimal mean-square performance controller for output feedback scenarios assuming a delayed binary acknowledgment from the actuator receiver is available at the controller.

Original languageEnglish (US)
Title of host publicationACC 2015 - 2015 American Control Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6040-6045
Number of pages6
ISBN (Electronic)9781479986842
DOIs
StatePublished - Jul 28 2015
Externally publishedYes
Event2015 American Control Conference, ACC 2015 - Chicago, United States
Duration: Jul 1 2015Jul 3 2015

Publication series

NameProceedings of the American Control Conference
Volume2015-July
ISSN (Print)0743-1619

Conference

Conference2015 American Control Conference, ACC 2015
Country/TerritoryUnited States
CityChicago
Period7/1/157/3/15

Bibliographical note

Publisher Copyright:
© 2015 American Automatic Control Council.

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