Title :
A decentralized strategy for resource allocation
Author_Institution :
Systems Control Technology, Inc., Palo Alto, CA, USA
fDate :
2/1/1982 12:00:00 AM
Abstract :
An algorithm is presented for optimal resource allocation in large-scale systems. The approach is based on a two-step noniterative decomposition technique: subsystem optimization is performed locally and the results are combined to provide a global optimum. The unique feature of the approach is that it performs the optimization in a completely decentralized manner, without a central coordinator.
Keywords :
Distributed control; Resource management; Distributed control; Feedback; Large-scale systems; Linear programming; Optimization methods; Resource management; Water resources;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.1982.1102891
