ON STOCHASTIC INCENTIVE CONTROL PROBLEMS WITH PARTIAL DYNAMIC INFORMATION.

Derya H. Cansever, M Tamer Basar

Research output: Contribution to journalConference article

Abstract

The authors consider a stochastic incentive decision problem with N less than 1 followers and decentralized static information, where the leader's dynamic information comprises only a linear combination of the follower's actions. An incentive policy, affine in this dynamic information, is obtained which yields the same overall performance as the policy the leader would obtain if he had observed the follower's actions separately. The existence conditions involved have been obtained explicitly for the case of finite probability spaces, and some challenging issues have been identified when the random variables are infinite-valued.

Original languageEnglish (US)
Pages (from-to)564-567
Number of pages4
JournalProceedings of the IEEE Conference on Decision and Control
StatePublished - Dec 1 1985

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Incentives
Control Problem
Partial
Random variables
Probability Space
Decision problem
Decentralized
Linear Combination
Random variable
Policy

ASJC Scopus subject areas

  • Chemical Health and Safety
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality

Cite this

ON STOCHASTIC INCENTIVE CONTROL PROBLEMS WITH PARTIAL DYNAMIC INFORMATION. / Cansever, Derya H.; Basar, M Tamer.

In: Proceedings of the IEEE Conference on Decision and Control, 01.12.1985, p. 564-567.

Research output: Contribution to journalConference article

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