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- W1759096567 abstract "In the present paper the identification and estimation problem of a fractional order state space system will be addressed. This paper presents a fractional order information filter and also a hierarchical identification algorithm to identify and estimate parameters and states of a fractional order system. Then, merging this algorithm with fractional order information filter, a novel identification method based on hierarchical identification theory is introduced to reduce the computational complexity. Finally, the applicability and performance of this platform on an exemplary system is examined." @default.
- W1759096567 created "2016-06-24" @default.
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- W1759096567 date "2015-03-01" @default.
- W1759096567 modified "2023-09-30" @default.
- W1759096567 title "Fractional order state space canonical model identification using fractional order information filter" @default.
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- W1759096567 doi "https://doi.org/10.1109/aisp.2015.7123479" @default.
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