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Real-time hysteresis identification in structures based on restoring force reconstruction and Kalman filter

机译:基于恢复力重建和卡尔曼滤波器的结构中的实时滞后识别

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A real-time hysteresis identification method hasbeen established based on restoring force reconstructionand the Kalman filter. In proceeding so, a newhysteretic loop identification framework is proposedwhere rather than identifying the parameters of prescribedhysteretic models, the restoring forces are reconstructed.The Kalman filter is adopted for restoringforce reconstruction and it is shown that the additionalaugmentation of the restoring forces as statevariables acts as the role of Tikhonov regularization.
机译:实时滞后识别方法成立基于恢复力重建和卡尔曼过滤器。在继续前进,一个新的提出了滞后循环识别框架其中而不是识别规定的参数滞后模型,重建恢复力。采用卡尔曼滤波器恢复力重建,并显示额外的为州的恢复部队增强变量充当Tikhonov正规化的作用。

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