Temporal framing of a finite memory observer for network control systems applied to measurement losses and integrity recovery

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Thuillier, Julien | Delouche, David | Fantini, Jacques | Kratz, Frédéric

Edité par HAL CCSD

This paper focuses on a tool to estimate lost data on network control systems. The tool is also able to detect loss of data integrity and estimate the correct value. A new formulation of the Finite Memory Observer using a finite collection of measurements and input is proposed to achieve these goals. First, the realisation of this tool is based on a Markov chain used to implement an event triggering mechanism applied to models of lost network measurement packets. The Finite Memory Observer (FMO) is based on a continuous time system model which corresponds better to time management in further works. The new formulation, dealing with loss of measurement packets, uses timestamping of data received to adjust the data estimation-predictions generated. The propagation of data loss in the observer's window and its effect on the estimate is presented. Finally, on a simple packet loss scenario, the accuracy of this prediction-estimation observer is presented. Secondly, the FMO is used to detect modification of data. Given the packet strategy, when a data modification is detected , the associated measurement will be not used for its estimation/prediction.

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