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- W2555080138 abstract "e dos Campos, SP, Brazil Abstract: This work presents the comparison between techniques applied to parameter identification of an aircraft accounting for process and measurement noise based on the following methods: Output error approach and Filtering approaches. The Output error approach, which can account only for measurement noise, uses the iterative Levenberg Marquardt optimization method to estimate the unknown parameters by minimization of a likelihood cost function. In the filtering approaches, accounting for both process and measurement noise, two different methods are considered. In the first, the unknown parameters can be estimated as augmented states using the Extended Kalman Filter. The second concerns Filter Error methods which are similar to the Output Error method and the filter is used only for the natural purpose of obtaining the true state variables from the noisy measurements, i.e., for state estimation. Simulated data is used to evaluate the methods performance." @default.
- W2555080138 created "2016-11-30" @default.
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- W2555080138 date "2007-01-01" @default.
- W2555080138 modified "2023-09-24" @default.
- W2555080138 title "Comparison of Algorithms for Parameter Estimation with Process and Measurement Noise" @default.
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