A dual Kalman filter approach for state estimation via output-only acceleration measurements

[1]  Peter K. Kitanidis,et al.  Unbiased minimum-variance linear state estimation , 1987, Autom..

[2]  N. Gordon,et al.  Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .

[3]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.

[4]  Erdal Safak,et al.  Wave-Propagation Formulation of Seismic Response of Multistory Buildings , 1999 .

[5]  Chien-Shu Hsieh,et al.  Robust two-stage Kalman filters for systems with unknown inputs , 2000, IEEE Trans. Autom. Control..

[6]  Sergio M. Savaresi,et al.  On the parametrization and design of an extended Kalman filter frequency tracker , 2000, IEEE Trans. Autom. Control..

[7]  Mihailo D. Trifunac,et al.  Wave propagation in a seven-story reinforced concrete building: I. Theoretical models , 2001 .

[8]  T. Başar,et al.  A New Approach to Linear Filtering and Prediction Problems , 2001 .

[9]  Wave propagation in a seven-story reinforced concrete building : III . Damage detection via changes in wavenumbers , 2003 .

[10]  Monica D. Kohler,et al.  Earthquake and Ambient Vibration Monitoring of the Steel-Frame UCLA Factor Building , 2005 .

[11]  Stefano Mariani,et al.  Unscented Kalman filtering for nonlinear structural dynamics , 2007 .

[12]  J. Beck,et al.  Bayesian State and Parameter Estimation of Uncertain Dynamical Systems , 2006 .

[13]  Feng Gao,et al.  A Kalman-filter based time-domain analysis for structural damage diagnosis with noisy signals , 2006 .

[14]  A. Smyth,et al.  Multi-rate Kalman filtering for the data fusion of displacement and acceleration response measurement in dynamic system monitoring , 2007 .

[15]  Guido De Roeck,et al.  Reference-based combined deterministic–stochastic subspace identification for experimental and operational modal analysis , 2006 .

[16]  James L. Beck,et al.  Real-time Reliability Estimation for Serviceability Limit States in Structures with Uncertain Dynamic Excitation and Incomplete Output Data , 2007 .

[17]  D Student.  Selection of noise parameters for Kalman filter , 2007 .

[18]  Bart De Moor,et al.  Unbiased minimum-variance input and state estimation for linear discrete-time systems , 2007, Autom..

[19]  Bart De Moor,et al.  Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough , 2007, Autom..

[20]  Eric Udd,et al.  General Realization Algorithm for Modal Identification of Linear Dynamic Systems , 2008 .

[21]  Eleni Chatzi,et al.  The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non‐collocated heterogeneous sensing , 2009 .

[22]  James B. Rawlings,et al.  Estimation of the disturbance structure from data using semidefinite programming and optimal weighting , 2009, Autom..

[23]  Dionisio Bernal.  The zero-order hold in time domain identification: An unnecessary operating premise , 2011 .

[24]  Eric M. Hernandez,et al.  A natural observer for optimal state estimation in second order linear structural systems , 2011 .

[25]  Costas Papadimitriou,et al.  Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering , 2011 .

[26]  V. Simoncini,et al.  Block Krylov subspace methods for the computation of structural response to turbulent wind , 2011 .

[27]  C. Papadimitriou,et al.  The effect of prediction error correlation on optimal sensor placement in structural dynamics , 2012 .

[28]  Costas Papadimitriou,et al.  Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors , 2012 .

[29]  Geert Lombaert,et al.  An augmented Kalman filter for force identification in structural dynamics , 2012 .

[30]  Stefano Mariani,et al.  Stochastic system identification via particle and sigma-point Kalman filtering , 2012 .

[31]  Saeed Eftekhar Azam,et al.  Dual estimation of partially observed nonlinear structural systems: A particle filter approach , 2012 .

[32]  Saeed Eftekhar Azam,et al.  Parallelized sigma-point Kalman filtering for structural dynamics , 2012 .

[33]  Luca Caracoglia,et al.  On‐line monitoring of wind‐induced stresses and fatigue damage in instrumented structures , 2013 .

[34]  Dionisio Bernal,et al.  Kalman filter damage detection in the presence of changing process and measurement noise , 2013 .

[35]  Ka-Veng Yuen,et al.  Online estimation of noise parameters for Kalman filter , 2013 .

[36]  Saeed Eftekhar Azam,et al.  Investigation of computational and accuracy issues in POD-based reduced order modeling of dynamic structural systems , 2013 .

[37]  Eleni Chatzi,et al.  Particle filter scheme with mutation for the estimation of time‐invariant parameters in structural health monitoring applications , 2013 .

[38]  Kalil Erazo,et al.  A model-based observer for state and stress estimation in structural and mechanical systems: Experimental validation , 2014 .

[39]  Ka-Veng Yuen,et al.  Novel Outlier-Resistant Extended Kalman Filter for Robust Online Structural Identification , 2015 .

[40]  Dionisio Bernal,et al.  Sequential deconvolution input reconstruction , 2015 .

[41]  Eleni Chatzi,et al.  Online correction of drift in structural identification using artificial white noise observations and an unscented Kalman Filter , 2015 .