Decentralized stochastic control

Aditya Mahajan () and Mehnaz Mannan ()
Additional contact information
Aditya Mahajan: McGill University
Mehnaz Mannan: McGill University

Annals of Operations Research, 2016, vol. 241, issue 1, No 7, 109-126

Abstract: Abstract Decentralized stochastic control refers to the multi-stage optimization of a dynamical system by multiple controllers that have access to different information. Decentralization of information gives rise to new conceptual challenges that require new solution approaches. In this expository paper, we use the notion of an information-state to explain the two commonly used solution approaches to decentralized control: the person-by-person approach and the common-information approach.

Keywords: Decentralized stochastic control; Dynamic programming; Team theory; Information structures (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10479-014-1652-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:241:y:2016:i:1:d:10.1007_s10479-014-1652-0

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479

DOI: 10.1007/s10479-014-1652-0

Access Statistics for this article

Annals of Operations Research is currently edited by Endre Boros

More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().