Recurrent Random Delay Estimation in Networked Discrete Control Systems

Abstract

The problem of random time delay probability distribution estimation in networked control systems is considered. An identification approach is proposed based on control system model with equivalent disturbance includes parametric uncertainty determined by unknown delay distribution. Recurrent algorithms for real time estimation of random delay distribution are developed. Algorithms for the identification of random delays, described by the Markov chain model with an unknown transition matrix, were also obtained.