Experimental application of on-line parametric identification for nonlinear hysteretic systems with model uncertainty

Structural Safety

Volumn 32, Issue 5, 2010, Pages 326-337

  Chatzi, Eleni N ^a   Smyth, Andrew W ^a   Masri, Sami F ^b  

^a Columbia University ^*  (United States)

^b University of Southern California ^*  (United States)

Author keywords

Experimental setup; Hysteretic behavior; Model uncertainty; Nonlinear system identification; Unscented Kalman Filter

Indexed keywords

ADAPTIVE GAIN; ANALYTICAL MODEL; BAYESIAN APPROACHES; CANDIDATE MODELS; ESTIMATION PROCESS; EXPERIMENTAL APPLICATION; EXPERIMENTAL SETUP; HIGHLY NONLINEAR; HYSTERETIC BEHAVIOR; HYSTERETIC MODEL; IDENTIFICATION PROCEDURE; LEAST SQUARE; LIMITED INFORMATION; MODEL COMPLEXITY; MODEL UNCERTAINTIES; NON-LINEAR SYSTEM IDENTIFICATION; NONLINEAR HYSTERETIC SYSTEMS; NONLINEAR TERMS; ON-LINE IDENTIFICATION; PARAMETER BOUNDARIES; PARAMETER PREDICTION; PARAMETRIC IDENTIFICATION; PARAMETRIZATIONS; REALISTIC APPLICATIONS; RESTORING FORCES; SENSOR READINGS; SEVERE NONLINEARITY; STATE SPACE FORMULATION; UNSCENTED KALMAN FILTER;

BAYESIAN NETWORKS; DAMPING; FUZZY CONTROL; HYSTERESIS; KALMAN FILTERS; NONLINEAR FILTERING; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; STIFFNESS; UNCERTAINTY ANALYSIS;

MATHEMATICAL MODELS;

EID: 77953540568     PISSN: 01674730     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.strusafe.2010.03.008     Document Type: Article

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