State estimation in structural systems with model uncertainties

Journal of Engineering Mechanics

Volumn 134, Issue 3, 2008, Pages 252-257

  Hernandez, Eric M ^a   Bernal, Dionisio ^b  

^a SIMPSON GUMPERTZ AND HEGER INC   (United States)

^b Northeastern University   (United States)

Author keywords

Earthquake engineering; Estimation; Filters; Measurement; Structural behavior

Indexed keywords

EARTHQUAKES; MATHEMATICAL MODELS; SEISMIC DESIGN; STATE ESTIMATION; UNCERTAINTY ANALYSIS;

EARTHQUAKE ENGINEERING; STRUCTURAL BEHAVIOR; STRUCTURAL SYSTEM;

STRUCTURAL ANALYSIS;

EARTHQUAKES; MATHEMATICAL MODELS; SEISMIC DESIGN; STATE ESTIMATION; STRUCTURAL ANALYSIS; UNCERTAINTY ANALYSIS;

EARTHQUAKE ENGINEERING; ERROR ANALYSIS; ESTIMATION METHOD; FILTER; MEASUREMENT METHOD; MODELING; RESPONSE ANALYSIS; SEISMIC RESPONSE; STRUCTURAL RESPONSE; UNCERTAINTY ANALYSIS;

EID: 39549089707     PISSN: 07339399     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9399(2008)134:3(252)     Document Type: Article

References (15)

1. ReferencesÅström, K. J., and Wittenmark, B. (1990). Computer-controlled systems, Prentice-Hall, Englewood Cliffs, N.J.
2. Bar-Shalom, Y., Li, X., and Kirubarajan, T. (2001). Estimation with applications in tracking and navigation, Wiley, New York.
3. Basseville, M., and Nikiforov, I. V. (1993). Detection of abrupt changes: Theory and application, Prentice-Hall, Englewood Cliffs, N.J.
4. Ching, J., Beck, J., Porter, K., and Shaikhutdinov, R. (2006). "Bayesian state estimation method for nonlinear systems and its application to recorded seismic response." J. Eng. Mech. JENMDT0733-939910.1061/(ASCE)0733-9399(2006)132:4(396), 132(4), 396-410.
5. Gelb, A. (1996). Applied optimal estimation, 14th Ed., MIT, Cambridge, Mass.
6. Grewal, M., and Andrews, A. (2001). Kalman filtering: Theory and practice using MATLAB, 2nd Ed., Wiley, New York.
7. Horn, H., and Johnson, C. (1999). Topics in matrix analysis, Cambridge University Press, New York.
8. Kailath, T., Sayeh, A. H., and Hassibi, B. (2000). Linear estimation, Prentice-Hall, Upper Saddle River, N.J.
9. Kalman, R. E. (1960). "A new approach to linear filtering and prediction problem." ASME J. Basic Eng. JBAEAI0021-9223, 82(1), 35-45.
10. Luenberger, D. G. (1966). "Observing the state of a linear system." IEEE Trans. Mil. Electron. IEMEAK0536-1559, 8, 74-80.
11. O'Reilly, J. (1983). Observers for linear systems, Academic, New York.
12. Petersen, I. R., and Savkin, A. V. (1999). Robust Kalman filtering for signals and systems with large uncertainties, Birkhausen, Boston.
13. Waller, H., and Schmidt, R. (1990). "The application of state estimation of state observers in structural dynamics." Mech. Syst. Signal Process. MSSPEP0888-3270, 4(3), 195-213.
14. Wiener, N. (1949). Extrapolation, interpolation, and smoothing of stationary time series, MIT, Cambridge, Mass.
15. Wilde, P., and Kozakiewicz, A. (1993). Kalman filter in the analysis of vibrations due to water waves, World Scientific, River Edge, N.J.