Amirkabir University of Technology AUT Journal of Modeling and Simulation 2588-2953 42 1 2010 04 01 Markovian Delay Prediction-Based Control of Networked Systems Markovian Delay Prediction-Based Control of Networked Systems 21 28 185 10.22060/miscj.2010.185 EN Behrooz Rahmani Amir H. D.Markaziii Journal Article 2014 03 16 A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order is estimated offline, using pr-recorded network time delay history. Unlike most of the previously existing methods, the proposed approach is both accurate and fast enough for a real time implementation. Using such a scheme for real-time estimation of the upcoming time delays, a variable state feedback gain control scheme is also proposed and applied to the predicted discretized model of the plant. The proposed approach is shown, through well-known benchmark problems, to be both accurate and fast enough for a real time implementation. https://miscj.aut.ac.ir/article_185_eecca5b6365d9607ee5a9d336962c534.pdf