Networked control systems as stochastic team decision problems: A general introduction

Serdar Yüksel, Tamer Başar

Research output: Chapter in Book/Report/Conference proceedingChapter


In this chapter, a general probability theoretic framework for stochastic team decision problems is established, by defining and classifying information structures, interaction dynamics, policy spaces, and objective functions. A number of examples are included to provide a gentle introduction to the concepts. Team problems and information structures are classified according to various criteria. Solution methods for static teams are presented, with particular emphasis on convex cost functions, and global optimality of person-by-person-optimal policies.

Original languageEnglish (US)
Title of host publicationSystems and Control
Subtitle of host publicationFoundations and Applications
Number of pages65
StatePublished - 2013
Externally publishedYes

Publication series

NameSystems and Control: Foundations and Applications
ISSN (Print)2324-9749
ISSN (Electronic)2324-9757


  • Information structure
  • Static teams
  • Team decision theory

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Computer Science Applications
  • Control and Optimization
  • Computational Mathematics


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