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

Serdar Yüksel, Tamer Başar

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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
PublisherBirkhauser
Pages11-75
Number of pages65
Edition9781461470847
DOIs
StatePublished - Jan 1 2013

Publication series

NameSystems and Control: Foundations and Applications
Number9781461470847
ISSN (Print)2324-9749
ISSN (Electronic)2324-9757

Keywords

  • 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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