Work in Progress: Systematic Derivation of Accurate Analytic Markov Channel Models for Industrial Control

Abstract

The motivation of this work is to systematically derive an accurate Markov channel model suitable to represent any industrial communication protocol. This model accounts for both channel and control dynamics. Our analytic model is derived by taking into account multiple interferers and physical phenomena characterizing a communication link. Our finite-state Markov channel model matches both average packet error probability and worst case bursty behavior of the accurate analytic model of the channel.