Optimal and near-optimal incentive strategies in the hierarchical control of Markov chains

DOI10.1016/0005-1098(85)90112-8zbMath0564.90105OpenAlexW2091621136MaRDI QIDQ1058473

Vikram R. Saksena, Cruz, J. B. jun.

Publication date: 1985

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0005-1098(85)90112-8

zbMATH Keywords

robustnessperturbation techniquesdecentralized controllarge scale systemsstochastic systemshierarchical decision makingnear-optimal strategiesfinite state Markov chainsaverage-cost-per-stage criteriaMarkovian Stackelberg problemsN followersNash reactionsone leaderoptimal affine incentive strategyreduced-order aggregate model

Mathematics Subject Classification ID

Management decision making, including multiple objectives (90B50) Deterministic scheduling theory in operations research (90B35) Hierarchical systems (93A13) Large-scale systems (93A15) Decision theory for games (91A35)

Related Items (2)

Incentive Stackelberg Games for Stochastic Systems ⋮ On stochastic incentive control problems with partial dynamic information

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