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Optimal sensor placement for fdi using binary integer linear programming

By Albert Rosich, Ramon Sarrate and Fatiha Nejjari


Abstract: This work is devoted to find an optimal set of sensors for model-based FDI. The novelty is that binary integer linear programming is used in the optimization problem, leading to a formulation of the detectability and isolability specifications as linear inequality constraints. Furthermore, a very detailed system model is not needed since the methodology handles structural models. The approach has been successfully applied to a two-tank system, as an illustrative example. 1

Year: 2009
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