Optimal state-feedback control under sparsity and delay constraints

Andrew Lamperski, Laurent Lessard

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

17 Scopus citations

Abstract

This paper presents the solution to a general decentralized state-feedback problem, in which the plant and controller must satisfy the same combination of delay constraints and sparsity constraints. The control problem is decomposed into independent subproblems, which are solved by dynamic programming. In special cases with only sparsity or only delay constraints, the controller reduces to existing solutions.

Original languageEnglish (US)
Title of host publication3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems, NECSYS 2012
PublisherIFAC Secretariat
Pages204-209
Number of pages6
Edition26
ISBN (Print)9783902823229
DOIs
StatePublished - 2012
Event3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems, NECSYS 2012 - Santa Barbara, CA, United States
Duration: Sep 14 2012Sep 15 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number26
Volume45
ISSN (Print)1474-6670

Other

Other3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems, NECSYS 2012
Country/TerritoryUnited States
CitySanta Barbara, CA
Period9/14/129/15/12

Bibliographical note

Funding Information:
★ The second author would like to acknowledge the support of the Swedish Research Council through the LCCC Linnaeus Center

Keywords

  • Decentralized control
  • Dynamic programming
  • Linear optimal control
  • Linear quadratic regulators
  • State feedback
  • Time delay

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