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

Fingerprint

Networked control systems
Networked Control Systems
Decision problem
Cost functions
Information Structure
Person
Global Optimality
Optimal Policy
Convex function
Cost Function
Objective function
Interaction

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

Cite this

Yüksel, S., & Başar, T. (2013). Networked control systems as stochastic team decision problems: A general introduction. In Systems and Control: Foundations and Applications (9781461470847 ed., pp. 11-75). (Systems and Control: Foundations and Applications; No. 9781461470847). Birkhauser. https://doi.org/10.1007/978-1-4614-7085-4_2

Networked control systems as stochastic team decision problems : A general introduction. / Yüksel, Serdar; Başar, Tamer.

Systems and Control: Foundations and Applications. 9781461470847. ed. Birkhauser, 2013. p. 11-75 (Systems and Control: Foundations and Applications; No. 9781461470847).

Research output: Chapter in Book/Report/Conference proceedingChapter

Yüksel, S & Başar, T 2013, Networked control systems as stochastic team decision problems: A general introduction. in Systems and Control: Foundations and Applications. 9781461470847 edn, Systems and Control: Foundations and Applications, no. 9781461470847, Birkhauser, pp. 11-75. https://doi.org/10.1007/978-1-4614-7085-4_2
Yüksel S, Başar T. Networked control systems as stochastic team decision problems: A general introduction. In Systems and Control: Foundations and Applications. 9781461470847 ed. Birkhauser. 2013. p. 11-75. (Systems and Control: Foundations and Applications; 9781461470847). https://doi.org/10.1007/978-1-4614-7085-4_2
Yüksel, Serdar ; Başar, Tamer. / Networked control systems as stochastic team decision problems : A general introduction. Systems and Control: Foundations and Applications. 9781461470847. ed. Birkhauser, 2013. pp. 11-75 (Systems and Control: Foundations and Applications; 9781461470847).
@inbook{69dd3d6a53764deba886aabf3862a9e6,
title = "Networked control systems as stochastic team decision problems: A general introduction",
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.",
keywords = "Information structure, Static teams, Team decision theory",
author = "Serdar Y{\"u}ksel and Tamer Başar",
year = "2013",
month = "1",
day = "1",
doi = "10.1007/978-1-4614-7085-4_2",
language = "English (US)",
series = "Systems and Control: Foundations and Applications",
publisher = "Birkhauser",
number = "9781461470847",
pages = "11--75",
booktitle = "Systems and Control",
edition = "9781461470847",

}

TY - CHAP

T1 - Networked control systems as stochastic team decision problems

T2 - A general introduction

AU - Yüksel, Serdar

AU - Başar, Tamer

PY - 2013/1/1

Y1 - 2013/1/1

N2 - 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.

AB - 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.

KW - Information structure

KW - Static teams

KW - Team decision theory

UR - http://www.scopus.com/inward/record.url?scp=85044450730&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044450730&partnerID=8YFLogxK

U2 - 10.1007/978-1-4614-7085-4_2

DO - 10.1007/978-1-4614-7085-4_2

M3 - Chapter

AN - SCOPUS:85044450730

T3 - Systems and Control: Foundations and Applications

SP - 11

EP - 75

BT - Systems and Control

PB - Birkhauser

ER -