Journal
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS
Volume 43, Issue 9, Pages 822-833Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ijnonlinmec.2008.05.010
Keywords
Parameter estimation; System identification; Hysteretic system; Unscented Kalman filter
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Funding
- US National Science Foundation under CAREER [CMS-0134333]
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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. (c) 2008 Elsevier Ltd. All rights reserved.
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