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- W2243324544 abstract "In this paper, the challenging problem of determining the unknown parameters of an identifiable LTI statespace representation of a stable system is addressed by resorting to a specific-norm-based optimization algorithm. More specifically, by assuming the availability of a reliable fully-parameterized representation of the system to identify, the algorithm developed herein consists in restructuring this initial black-box representation of the system dynamics via the optimization of a dedicated maximum eigenvalue-based criterion. This study shows that this ffTC-norm-based approach can be seen as a good solution for the estimation of gray-box LTI state-space forms and, by extension, as an interesting alternative or a reliable initialization step for the standard output-error techniques." @default.
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- W2243324544 date "2015-11-01" @default.
- W2243324544 modified "2023-10-16" @default.
- W2243324544 title "Comparison of a gradient-based algorithm and a proximity control algorithm for gray-box LTI model identification" @default.
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- W2243324544 doi "https://doi.org/10.1109/cinti.2015.7382940" @default.
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