Title :
Parameter adaptive resource allocation problem for a decentralized dynamic system
Author :
Aoki, Masanao ; Toda, Mitsuhiko
Author_Institution :
University of Illinois, Urbana, USA
fDate :
4/1/1975 12:00:00 AM
Abstract :
A dynamic resource allocation problem under uncertainty is considered. A specific decentralized information structure is assumed to examine on-line coordination procedures through message exchanges. First, an optimal solution for a deterministic version of the problem is obtained. Based on the optimal solution, suboptimal decision rules with learning are discussed for stochastic processes. In particular, an adaptive decision rule with an active learning effect is proposed.
Keywords :
Adaptive control; Decentralized control; Decision procedures; Linear systems, stochastic; Optimal stochastic control; Resource allocation; Stochastic optimal control; Stochastic systems, linear; Uncertain systems; Adaptive systems; Control theory; Decision making; Environmental economics; Learning systems; NASA; Pattern recognition; Resource management; Stochastic processes; Uncertainty;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1975.1100925