On the structure of state-feedback LQG controllers for distributed systems with communication delays

Andrew Lamperski; John C. Doyle

doi:10.1109/CDC.2011.6160767

On the structure of state-feedback LQG controllers for distributed systems with communication delays

Andrew Lamperski, John C. Doyle

Electrical and Computer Engineering

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

20 Scopus citations

Abstract

This paper presents explicit solutions for a few distributed LQG problems in which players communicate their states with delays. The resulting control structure is reminiscent of a simple management hierarchy, in which a top level input is modified by newer, more localized information as it gets passed down the chain of command. It is hoped that the controller forms arising through optimization may lend insight into the control strategies of biological and social systems with communication delays.

Original language	English (US)
Title of host publication	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Pages	6901-6906
Number of pages	6
DOIs	https://doi.org/10.1109/CDC.2011.6160767
State	Published - Dec 1 2011
Event	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 - Orlando, FL, United States Duration: Dec 12 2011 → Dec 15 2011

Other

Other	2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Country	United States
City	Orlando, FL
Period	12/12/11 → 12/15/11

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10.1109/CDC.2011.6160767

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Lamperski, A & Doyle, JC 2011, On the structure of state-feedback LQG controllers for distributed systems with communication delays. in 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011., 6160767, pp. 6901-6906, 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011, Orlando, FL, United States, 12/12/11. https://doi.org/10.1109/CDC.2011.6160767

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AB - This paper presents explicit solutions for a few distributed LQG problems in which players communicate their states with delays. The resulting control structure is reminiscent of a simple management hierarchy, in which a top level input is modified by newer, more localized information as it gets passed down the chain of command. It is hoped that the controller forms arising through optimization may lend insight into the control strategies of biological and social systems with communication delays.

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On the structure of state-feedback LQG controllers for distributed systems with communication delays

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