In this paper, we study how to identify the model parameters of a plant with randomly missing output in a network environment. As a result of networked-induced time delays and packet loss, the identification is inevitable to be affected by data missing. We propose to online estimate the missing output measurements, and employ the Kalman filter to estimate system parameters recursively. Convergence analysis on parameter estimation and output estimation is carried out. Simulation results verify the effectiveness of the proposed algorithm.

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