메뉴 건너뛰기




Volumn SPSMC, Issue , 2007, Pages 54-61

A State Estimator For Nonlinear Stochastic Systems Based On Dirac Mixture Approximations

Author keywords

Dirac mixture; Nonlinear dynamic systems; Stochastic filter

Indexed keywords

APPROXIMATION APPROACH; APPROXIMATION PROCESS; DETERMINISTIC METHODS; DIRAC MIXTURE; DISTANCE MEASURE; FILTER APPROACH; NON-LINEAR STOCHASTIC SYSTEMS; NONLINEAR DYNAMIC SYSTEMS; OPTIMAL NUMBER; RECURSIVE APPROXIMATION; STATE ESTIMATORS; STOCHASTIC FILTER;

EID: 56749133937     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (15)
  • 1
    • 0015385037 scopus 로고
    • Nonlinear Bayesian Estimation Using Gaussian Sum Approximation
    • Alspach, D. L. and Sorenson, H. W. (1972). Nonlinear Bayesian Estimation Using Gaussian Sum Approximation. IEEE Transactions on Automatic Control, AC-17(4):439-48.
    • (1972) IEEE Transactions on Automatic Control , vol.AC-17 , Issue.4 , pp. 439-448
    • Alspach, D.L.1    Sorenson, H.W.2
  • 2
    • 0000363784 scopus 로고
    • Minimum Distance Estimators for Location and Goodness of Fit
    • Boos, D. D. (1981). Minimum Distance Estimators for Location and Goodness of Fit. Journal of the American Statistical association, 76(375):663-670.
    • (1981) Journal of the American Statistical association , vol.76 , Issue.375 , pp. 663-670
    • Boos, D.D.1
  • 3
    • 0014570310 scopus 로고
    • Bayes Theorem and Digital Realizations for Non-Linear Filters
    • Bucy, R. S. (1969). Bayes Theorem and Digital Realizations for Non-Linear Filters. Journal ofAstronautical Sciences, 17:80-94.
    • (1969) Journal ofAstronautical Sciences , vol.17 , pp. 80-94
    • Bucy, R.S.1
  • 5
    • 0001460136 scopus 로고    scopus 로고
    • On Sequential Monte Carlo Sampling Methods for Bayesian Filtering
    • Doucet, A., Godsill, S., and Andrieu, C. (2000). On Sequential Monte Carlo Sampling Methods for Bayesian Filtering. Statistics and Computing, 10(3): 197-208.
    • (2000) Statistics and Computing , vol.10 , Issue.3 , pp. 197-208
    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
  • 6
    • 0001667705 scopus 로고
    • Bayesian Inference in Econometric Models using Monte Carlo Integration
    • Geweke, J. (1989). Bayesian Inference in Econometric Models using Monte Carlo Integration. Econometrica, 24:1317-1399.
    • (1989) Econometrica , vol.24 , pp. 1317-1399
    • Geweke, J.1
  • 8
    • 0042827602 scopus 로고    scopus 로고
    • Hanebeck, U. D., Briechle, K., and Rauh, A. (2003). Progressive Bayes: A New Framework for Nonlinear State Estimation. In Proceedings of SPIE, 5099, pages 256-267, Orlando, Florida. AeroSense Symposium.
    • Hanebeck, U. D., Briechle, K., and Rauh, A. (2003). Progressive Bayes: A New Framework for Nonlinear State Estimation. In Proceedings of SPIE, volume 5099, pages 256-267, Orlando, Florida. AeroSense Symposium.
  • 15
    • 35348864141 scopus 로고    scopus 로고
    • Recursive Prediction of Stochastic Nonlinear Systems Based on Dirac Mixture Approximations
    • New York City, USAhh
    • Schrempf, O. C. and Hanebeck, U. D. (2007). Recursive Prediction of Stochastic Nonlinear Systems Based on Dirac Mixture Approximations. In Proceedings of the American Control Conference (ACC '07), New York City, USAhh
    • (2007) Proceedings of the American Control Conference (ACC '07)
    • Schrempf, O.C.1    Hanebeck, U.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.