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Communication complexity in the distributed design of linear quadratic optimal controllers

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

Abstract

We consider a control design situation in which the knowledge of a Linear Time-Invariant (LTI) plant's model is segmented between two parties: one party knows the dynamics of a subsystem within the plant, and how some particular inputs affect the whole system, while the other party knows all the remaining information. We ask: "How much of their partial knowledge of the model should the parties transmit to the control designer in order to enable her to construct an optimal controller?" Assuming that models are specified by their state-space representations, we tackle this question within the framework of Real Number Communication Complexity theory and prove that, for certain patterns of segmented model knowledge, the communication complexity of optimal control design is maximal. We also show that satisfactory suboptimal controllers can be constructed with reduced communication complexity.

Original languageEnglish (US)
Title of host publicationProceedings of the 47th IEEE Conference on Decision and Control, CDC 2008
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3541-3546
Number of pages6
ISBN (Print)9781424431243
DOIs
StatePublished - 2008
Event47th IEEE Conference on Decision and Control, CDC 2008 - Cancun, Mexico
Duration: Dec 9 2008Dec 11 2008

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Other

Other47th IEEE Conference on Decision and Control, CDC 2008
Country/TerritoryMexico
CityCancun
Period12/9/0812/11/08

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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