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Empirical performance of bias-reducing estimators for regenerative steady-state simulations
Ming-Hua Hsieh, Donald L. Iglehart, Peter W. Glynn
When simulating a stochastic system, simulationists often are interested in estimating various steady-state performance measures. The classical point estimator for such a measure involves simply taking the time average of an appropriate function...
Calculation of confidence intervals for simulation output
R. C. H. Cheng, W. Holland
This article is concerned with the calculation of confidence intervals for simulation output that is dependent on two sources of variability. One, referred to as <i>simulation variability</i>, arises from the use of random numbers in the...
An asynchronous integration and event detection algorithm for simulating multi-agent hybrid systems
Joel M. Esposito, Vijay Kumar
A simulation algorithm is presented for multi-agent hybrid systems---systems consisting of many sets of nonsmooth differential equations---such as systems involving multiple rigid bodies, vehicles, or airplanes. The differential equations are...
Modeling of discrete event systems: A holistic and incremental approach using Petri nets
Carmen-Veronica Bobeanu, Eugene J. H. Kerckhoffs, Hendrik Van Landeghem
In this article, the authors provide an alternative view on Petri nets modeling of discrete event systems. The proposed modeling procedure follows the Systems Specification guidelines underlying the well-known DEVS modeling formalism. The authors'...