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• W2022103235 endingPage "380" @default.
• W2022103235 startingPage "369" @default.
• W2022103235 abstract "This paper considers the state filtering and parameter estimation problems for state space systems with scarce output availability. When the scarce states are available, a least squares based algorithm and an observer based parameter estimation algorithm are developed to estimate the system parameter matrices and states. For the case with unknown states, a combined parameter estimation and state filtering algorithm is presented for canonical state space models, using the reconstructed states for the parameter estimation. Finally, an example is provided to test the effectiveness of the proposed algorithms." @default.
• W2022103235 created "2016-06-24" @default.
• W2022103235 creator A5018725689 @default.
• W2022103235 date "2014-11-01" @default.
• W2022103235 modified "2023-10-16" @default.
• W2022103235 title "State filtering and parameter estimation for state space systems with scarce measurements" @default.
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• W2022103235 doi "https://doi.org/10.1016/j.sigpro.2014.03.031" @default.
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