Subspace identification of bridge dynamics via traversing vehicle measurements

2022 ◽  
pp. 116690
Author(s):  
Nan Jin ◽  
Vasilis K. Dertimanis ◽  
Eleni N. Chatzi ◽  
Elias G. Dimitrakopoulos ◽  
Lambros S. Katafygiotis
2005 ◽  
Vol 78 (17) ◽  
pp. 1412-1436 ◽  
Author(s):  
N. L. C. Chui ◽  
J. M. Maciejowski

2021 ◽  
Vol 230 ◽  
pp. 111688
Author(s):  
Nan Jin ◽  
Y.B. Yang ◽  
Elias G. Dimitrakopoulos ◽  
Themelina S. Paraskeva ◽  
Lambros S. Katafygiotis

2014 ◽  
Vol 701-702 ◽  
pp. 492-497
Author(s):  
Teng Yue Ba ◽  
Xi Qiang Guan ◽  
Jian Wu Zhang

In this paper, subspace identification methods are proposed to estimate the linear tire cornering stiffness, which are only based on the road tests data without any prior knowledge. This kind of data-driven method has strong robustness. In order to validate the feasibility and effectiveness of the algorithms, a series of standard road tests are carried out. Comparing with different subspace algorithms used in road tests, it can be concluded that the front tire cornering stiffness can be estimated accurately by the N4SID and CCA methods when the double lane change test data are taken into analysis.


2018 ◽  
Vol 63 (4) ◽  
pp. 1126-1131 ◽  
Author(s):  
Chengpu Yu ◽  
Michel Verhaegen ◽  
Anders Hansson

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