New stochastic subspace approach for system identification and its application to long-span bridges

Journal of Engineering Mechanics

Volumn 139, Issue 6, 2013, Pages 724-736

  Hong, Ah Lum ^a   Ubertini, Filippo ^b   Betti, Raimondo ^a  

^a Columbia Univ ^*  (United States)

^b UNIVERSITY OF PERUGIA   (Italy)

Author keywords

Long span bridge; Model order determination; State variable estimation; Subspace method; System identification

Indexed keywords

AMBIENT EXCITATION; DYNAMIC CHARACTERISTICS; LONG-SPAN BRIDGE; LOW SIGNAL-TO-NOISE RATIO; MODEL ORDER DETERMINATION; STATE VARIABLES; STOCHASTIC SUBSPACE; SUB-SPACE METHODS;

STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

IDENTIFICATION (CONTROL SYSTEMS);

BRIDGE; ESTIMATION METHOD; NUMERICAL MODEL; SIGNAL-TO-NOISE RATIO; STOCHASTICITY;

EID: 84881308722     PISSN: 07339399     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)EM.1943-7889.0000524     Document Type: Article

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