On Evaluating SFM-Based Infinitesimal Perturbation Analysis Estimates From Discrete Event System Data

摘要

This paper investigates the evaluation of infinitesimal perturbation analysis (IPA) estimates that have been derived based on a stochastic fluid model (SFM) using data observed from the sample path of a discrete event system (DES). First, we show that a s