H∞ Filtering for Stochastic Networked Control Systems with Time Delays and Packet Dropout

In this paper, the problem of H infinity filtering for a stochastic control system integration with packet dropout and time delays is investigated. We address time delays and packet dropouts by introducing a mathematical model to reconstruct random occurring communication delays between multiple systems whereby the output results from multiple system transmission is equivalent to the input results. The reconstruction is based on unknown discrete signal sampling from incomplete linear measurement with only the output considered and addressed. The mathematical model is based on re-sampling with instances anticipation of each time delay monitored. Based on the computational complexity, a sufficient augmentation approach is considered to guarantee stability and the input signal gets as near as possible in the max-norm. Experimental results suggest that the proposed H infinity filtering design for addressing stochastic time delay and data dropout factors is suitable for reconstruction.