Estimation for Random sensor Failure of Networked Control System subject to random packet dropout

This paper is directed towards estimation for random sensor failure of networked control system (NCS) subject to the random packet dropout. In reality, certain observations may be missing. This is possibly due to network induced delay, random packet dropout, access constraints, etc. Therefore, in this work, an approach is proposed to perform estimation in random packet dropout environments. The solution is found through the use of adaptive estimation via parallel processing,in which the probability of sensor failure is either unknown or a priori known but varies due to changes in environmental conditions during operation (The Random packet dropout phenomenon). The Random packet dropout is modeled as a linear function of stochastic variable satisfying Bernoulli random binary distribution. Simulation results are given to illustrate effectiveness of the proposed method. In addition, the robustness of the proposed method is also shown through simulation.