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- W2617759626 abstract "This chapter presents the implementation of optimization algorithms to build auxiliary signals that can be injected as inputs into a pipeline in order to estimate—by using state observers—physical parameters such as the friction or the wave speed. For the design of the state observers, we propose to incorporate the parameters to be estimated into the state vector of Lienard-type models of a pipeline such that the observers can be constructed from the modified models. The proposed optimization algorithms guarantee a prescribed observability degree of the modified models by building an optimal input for the identification. The optimality of the input is defined with respect to the minimization of the input energy, whereas the observability through a lower bound for the observability Gramian, which is constructed from the Lienard-type models of the pipeline. The proposed approach to construct auxiliary inputs was experimentally tested by using real data obtained from a laboratory pipeline." @default.
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- W2617759626 date "2017-01-01" @default.
- W2617759626 modified "2023-10-16" @default.
- W2617759626 title "Auxiliary Signal Design and Liénard-type Models for Identifying Pipeline Parameters" @default.
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- W2617759626 doi "https://doi.org/10.1007/978-3-319-55944-5_6" @default.
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