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IJAR
2002
102views more  IJAR 2002»
13 years 7 months ago
Networks of probabilistic events in discrete time
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
Severino F. Galán, Francisco Javier D&iacut...
WSC
2007
13 years 9 months ago
Mathematical programming-based perturbation analysis for GI/G/1 queues
This paper addresses several issues of using the mathematical programming representations of discrete-event dynamic systems in perturbation analysis. In particular, linear program...
He Zhang, Wai Kin Chan
PADS
1996
ACM
13 years 11 months ago
Design of High Level Modelling / High Performance Simulation Environments
Advances in massively parallel platforms are increasing the prospects for high performance discrete event simulation. Still the di culty in parallel programming persists and there...
Bernard P. Zeigler, Doohwan Kim
CDC
2009
IEEE
110views Control Systems» more  CDC 2009»
13 years 5 months ago
Perturbation analysis and optimization of multiclass multiobjective Stochastic Flow Models
Stochastic Flow Models (SFMs) are stochastic ystems that abstract the dynamics of complex discrete event systems involving the control of sharable resources. SFMs have been used to...
Chen Yao, Christos G. Cassandras
AMC
2007
91views more  AMC 2007»
13 years 7 months ago
Deterministic and random synthesis of discrete chaos
In this paper, two anticontrol algorithms for synthesis of discrete chaos are introduced. In these algorithms, the control parameter of a discrete dynamical system is switched, ei...
Miguel Romera, Michael Small, Marius-F. Danca