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- W2325873191 abstract "A possibility of recursive self-identication method that combines the concept of selfidentication and the extended Kalman lter is investigated for adaptive structures with semi-active devices such as piezoelectric transducers. It is assumed that the stiness of the structure can be controlled semi-actively so that structures have two dieren t states, that is, high-stiness and low-stiness states. An extended state vector consisting of state vector, constant stiness, and constant damping coecien ts are estimated recursively, where the piezoelectric constant is semi-actively controlled so that the convergence rate is increased. Numerical experiments show that the dierence of the convergence of recursive estimation and its accuracy for high-stiness or low-stiness states. Also, the eect of the change of stiness during the estimation is investigated. As a result, changing the stiness can be used to improve the convergence rate and accuracy of the recursive estimation of unknown parameters. Furthermore, the eect of the control error of the semi-active device on the estimation accuracy and the convergence is discussed." @default.
- W2325873191 created "2016-06-24" @default.
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- W2325873191 date "2007-04-23" @default.
- W2325873191 modified "2023-09-25" @default.
- W2325873191 title "Transient Response Analysis with Extended Kalman Filter for Recursive Self-Identification Using Semi-Active Devices" @default.
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- W2325873191 doi "https://doi.org/10.2514/6.2007-2398" @default.
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