A novel Gaussian Sum Filter Method for accurate solution to the nonlinear filtering problem
暂无分享,去创建一个
Peter D. Scott | Puneet Singla | Tarunraj Singh | Gabriel Terejanu | T. Singh | P. Singla | P. Scott | G. Terejanu
[1] Arthur Gelb,et al. Applied Optimal Estimation , 1974 .
[2] P. Spanos,et al. Random vibration and statistical linearization , 1990 .
[3] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[4] H. Sorenson,et al. Recursive bayesian estimation using gaussian sums , 1971 .
[5] Branko Ristic,et al. Beyond the Kalman Filter: Particle Filters for Tracking Applications , 2004 .
[6] Herman Bruyninckx,et al. Kalman filters for non-linear systems: a comparison of performance , 2004 .
[7] Kazufumi Ito,et al. Gaussian filters for nonlinear filtering problems , 2000, IEEE Trans. Autom. Control..
[8] Yuanxin Wu,et al. An Improvement to Unscented Transformation , 2004, Australian Conference on Artificial Intelligence.
[9] R. N. Iyengar,et al. Study of the Random Vibration of Nonlinear Systems by the Gaussian Closure Technique , 1978 .
[10] Hugh F. Durrant-Whyte,et al. A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..
[11] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[12] Puneet Singla,et al. A gaussian function network for uncertainty propagation through nonlinear dynamical system , 2008 .
[13] H. Sorenson,et al. Nonlinear Bayesian estimation using Gaussian sum approximations , 1972 .
[14] J. Junkins,et al. Optimal Estimation of Dynamic Systems , 2004 .
[15] Jeffrey K. Uhlmann,et al. Unscented filtering and nonlinear estimation , 2004, Proceedings of the IEEE.
[16] A. Honkela. Approximating nonlinear transformations of probability distributions for nonlinear independent component analysis , 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).
[17] A. Jazwinski. Stochastic Processes and Filtering Theory , 1970 .
[18] J. Huang,et al. Curse of dimensionality and particle filters , 2003, 2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).
[19] S Julier,et al. Comment on "A new method for the nonlinear transformation of means and covariances in filters and estimators" - Reply , 2002 .
[20] Jun S. Liu,et al. Mixture Kalman filters , 2000 .
[21] Petros G. Voulgaris,et al. On optimal ℓ∞ to ℓ∞ filtering , 1995, Autom..
[22] T. Singh,et al. Uncertainty Propagation for Nonlinear Dynamic Systems Using Gaussian Mixture Models , 2008 .