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Two Mechanisms of Packet Dropout Compensation for Linear Filter of Networked Control Systems

This paper studies the optimal linear filtering problem for networked control systems (NCSs) with multiple packet dropouts. When the current measurement is lost, the two popular compensation mechanisms (the hold-input and zero-input mechanism) are used for compensation, respectively. The hold-input strategy means that the latest measurements received is applied directly whereas the zero-input one adopts zero value. Based on the two popular compensators, the optimal linear filters in the linear minimum variance sense are given by innovation analysis approach, and their performances are compared in terms of two simulation examples. The conclusion is that neither of the two compensation mechanisms can be claimed to be superior to the other.