Particle filter scheme with mutation for the estimation of time-invariant parameters in structural health monitoring applications
Author:
Affiliation:
1. Institute of Structural Engineering, ETH Zürich; Wolfgang-Pauli-Strasse 15; CH-8093; Zürich; Switzerland
2. Department of Civil Engineering and Engineering Mechanics; Columbia University; New York; NY; 10027; USA
Publisher
Wiley
Subject
Mechanics of Materials,Building and Construction,Civil and Structural Engineering
Reference30 articles.
1. The unscented Kalman filter and particle filter methods for nonlinear structural system identification with non-collocated heterogeneous sensing;Chatzi;Structural Control and Health Monitoring,2009
2. Development of adaptive modeling techniques for non-linear hysteretic systems;Smyth;International Journal of Non-Linear Mechanics,2002
3. Time segmented least squares identification of base isolated buildings;Nagarajaiah;Soil Dynamics and Earthquake Engineering Journal,2004
4. An eigensystem realization algorithm for modal parameter identification and model reduction;Juang;Journal of Guidance, Control, and Dynamics,1985
5. Identification of observer/Kalman filter Markov parameters: theory and experiments;Juang;Journal of Guidance, Control, and Dynamics,1993
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