A multimodel approach to stochastic team problems

Vikram R. Saksena, M Tamer Basar

Research output: Contribution to journalArticle

Abstract

This paper develops decentralized team strategies for decision makers using different models of the same large-scale system. Multiparameter singular perturbations are employed to capture the multimodel nature of the fast dynamic subsystems interconnected through slow dynamic variables. The small parameters are appropriately scaled so that the variables in both time scales are well defined. The system considered is linear and the cost criterion is quadratic. First, a multimodel solution is obtained when the decision makers make different noisy linear observations of the random initial state only. Then the solution to this static team problem is utilized to obtain a multimodel solution to the dynamic team problem with sampled observations under the one-step-delay observation sharing pattern. In both cases, the well-posedness of the multimodel solution is demonstrated.

Original languageEnglish (US)
Pages (from-to)713-720
Number of pages8
JournalAutomatica
Volume18
Issue number6
DOIs
StatePublished - Nov 1982

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Large scale systems
Costs

Keywords

  • Multimodeling
  • multiparameter singular perturbations
  • one-step-delay observation-sharing pattern
  • static information structure
  • team decision theory
  • well posedness

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

A multimodel approach to stochastic team problems. / Saksena, Vikram R.; Basar, M Tamer.

In: Automatica, Vol. 18, No. 6, 11.1982, p. 713-720.

Research output: Contribution to journalArticle

Saksena, Vikram R. ; Basar, M Tamer. / A multimodel approach to stochastic team problems. In: Automatica. 1982 ; Vol. 18, No. 6. pp. 713-720.
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