| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 721099 | IFAC Proceedings Volumes | 2009 | 6 Pages |
Abstract
We present a stochastic hybrid system framework for Stochastic Flow Models (SFMs) with multiple classes and class-dependent performance objectives. Using Infinitesimal Perturbation Analysis (IPA) estimators for the derivatives of such objectives, we formulate and solve resource contention games that contrast system-centric and user-centric optimization in such SFMs.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Chen Yao, Christos G. Cassandras,