Optimal estimation over channels with limits on usage

Tamer Basar, Praveen Bommannavar

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

Abstract

We consider several cases of a sequential estimation problem in which two decision making agents work together but with limited communication (between them) to minimize a performance criterion. One agent makes sequential observations about the state of an underlying, possibly vector valued, stochastic process for a fixed period of time. The observer agent upon observing the process decides whether or not to disclose some information about the process to the other agent, the estimator, and if yes, when and how. The constraint is that the observer may act only a limited, pre-specified number of times. For such problems, we develop the optimal observer-estimator policies first for the case when the source process is n-th order Gauss-Markov, and then for the case when the source is a vector process.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
Edition1 PART 1
DOIs
StatePublished - 2008
Externally publishedYes
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: Jul 6 2008Jul 11 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number1 PART 1
Volume17
ISSN (Print)1474-6670

Other

Other17th World Congress, International Federation of Automatic Control, IFAC
Country/TerritoryKorea, Republic of
CitySeoul
Period7/6/087/11/08

Keywords

  • Control and estimation with data loss
  • Estimation and filtering
  • Sensor networks

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Optimal estimation over channels with limits on usage'. Together they form a unique fingerprint.

Cite this