ON STOCHASTIC INCENTIVE CONTROL PROBLEMS WITH PARTIAL DYNAMIC INFORMATION.

Derya H. Cansever, 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
DOIs
StatePublished - 1985

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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