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• W2014409722 abstract "Many civil and mechanical structures exhibit hysteresis with degradation and/or pinching when subject to severe cyclic loadings such as earthquakes, wind, or sea waves. The modeling and identification of non-linear hysteretic systems with degradation and pinching is therefore a practical problem encountered in the engineering mechanics field. On-line identification of degrading and pinching hysteretic systems is quite a challenging problem because of its complexity. A recently developed technique, the unscented Kalman filter (UKF) which is capable of handling any functional non-linearity, is applied to the on-line parametric system identification of hysteretic differential models with degradation and pinching. Simulation results show that the UKF is efficient and effective for the real-time state estimation and parameter identification of highly non-linear hysteretic systems with degradation and pinching." @default.
• W2014409722 created "2016-06-24" @default.
• W2014409722 creator A5025805379 @default.
• W2014409722 creator A5059129516 @default.
• W2014409722 date "2008-11-01" @default.
• W2014409722 modified "2023-10-07" @default.
• W2014409722 title "Real-time parameter estimation for degrading and pinching hysteretic models" @default.
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• W2014409722 doi "https://doi.org/10.1016/j.ijnonlinmec.2008.05.010" @default.
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