Estimation of states of nonlinear systems using a particle filter

Proceedings of the IEEE International Conference on Industrial Technology

Volumn , Issue , 2006, Pages 2432-2437

  Imtiaz, Syed A ^a   Roy, Kallol ^a   Huang, Biao ^a   Shah, Sirish L ^a   Jampana, Phanindra ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AIR FILTERS; COMPUTER NETWORKS; NONLINEAR SYSTEMS; SIGNAL FILTERING AND PREDICTION;

INDUSTRIAL TECHNOLOGIES; INTERNATIONAL CONFERENCES; PARTICLE FILTERING;

WAVE FILTERS;

EID: 51349105981     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIT.2006.372687     Document Type: Conference Paper

References (14)

1. Arulampalam, M. S. and Maskell, S. and Gordon, N. and Clapp, T.," "A Tutorial on Particle Filter for Online Nonlinear/Non-Gaussian Bayesian Tracking," IEEE Transactions on Signal Processing, vol. 50(2), pp. 197-188",2002".
2. Doucet, A. and Godsill, S. and Andrieu, C., "Berzuini, C. and Best, N. and Gilks, W. and Larizza, C"Dynamic conditional independence models and markov chain Monte Carlo methods,"Journal of American Statistical Association, vol. 92, pp.1403-1412", 1997".
3. Doucet, A., "On sequential simulation-based methods forBayesian filtering," echnical Report. University of Cambridge, Dept. of Engineering, CUED-F-ENG-TR310. Available on the MCMC preprint service at http://www.stats.bris.ac.uk/MCMC, 1998".
4. Doucet, A. and Godsill, S. and Andrieu. C., "On sequential Monte Carlo sampling methods for Bayesian filtering," Statistics and Computing, vol. 12, pp.197-208".2000".
5. Gordon, N. J. and Salmond, D. J. and Smith, A. E M., "Novel approach to nonlinear or non-Gaussian Bayesian state estimation," IEEE Proceedings on Radar and Signal Processing, vol. 140, pp. 107-113,1993".
6. Rubin, D. B. Multiple Imputations for nonresponse in surveys, John Wiley and Sons Inc, NY , 1987.
7. Henson, M. A. and Seborg, D. E., Nonlinear Process Control, Prentice Hall PTR, Upper Saddle River, NJ , 1997.
8. Handschin, J. E. and Mayne, D. Q., "Monte Carlo techniques to estimate the conditional expectation in multi-stage non-linear filtering," International Journal of Control, vol. 9, pp.547-559, 1969".
9. Johansson, K. H., "The quadruple-tank process: A multivariable laboratory process with an adjustable zero," IEEE Transactions on control systems technology, vol. 8 (3), pp.456-465, 2000".
10. Liu, S. J. and Chen, R., "Sequential Monte Carlo methods for Dynamic Systems," Journal of American Statistical Association, vol. 93(443), pp.1032-1044, 1998".
11. Murray, I., "Note on rejection sampling and exact sampling with the Metropolised Independence Sampler," http://www.gatsby.ucl.ac.uk, 2004".
12. Smith, A. F. M. and Gelfand, A. E., "Bayesian Estimation via Bayesian Statistics without Tears: A Sampling-Resampling Perspective." The American Statistician, vol. 46(2), pp.84-88, 1992".
13. Chen, W. S. and Bakshi, B. R. and Goel, P. K. and Ungarala, S., "Bayesian Estimation via Sequential Monte Carlo Sampling: Unconstained Nonlinear Dynamic Systems," Industrial Engineering and Chemistry Research, vol. 43, pp.4012-4025, 2004.
14. Zaritskii, V. S. and Svetnik, V. B. and Shimelevich, L. I., "Monte Carlo technique in problems of optimal data processing," Automation and Remote Control, vol. 12, pp. 95-103, 1975.