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Volumn 3, Issue , 2003, Pages 2102-2109

Nonlinear state estimation by evolution strategies based particle filters

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTED COMPUTER SYSTEMS; EVOLUTIONARY ALGORITHMS; PROBABILITY DISTRIBUTIONS; SIGNAL FILTERING AND PREDICTION; STATE ESTIMATION; TARGET TRACKING;

EID: 27144503921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299932     Document Type: Conference Paper
Times cited : (39)

References (24)
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    • A tutorial on particle filters for on-line non-linear/non-gaussian bayesian tracking
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    • (1993) Evolutionary Computation , vol.1 , Issue.1 , pp. 1-23
    • Back, T.1    Schwefel, H.-P.2
  • 9
    • 0008556644 scopus 로고
    • Artificial intelligence through a simulation of evolution
    • reprinted in D. B. Foge! (eds.), Evolutionary Computation, The Fossil Record, 230/254, IEEE Press (1995
    • L. J, Fogel, A. J. Owens and M. J. Walsh: "Artificial intelligence through a simulation of evolution." Proc. of the 2nd Cybernetics Science Symp., 131-155 (1965) reprinted in D. B. Foge! (eds.), Evolutionary Computation, The Fossil Record, 230/254, IEEE Press (1995).
    • (1965) Proc. of the 2nd Cybernetics Science Symp , pp. 131-155
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    • Kitagawa, G.1
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    • Sequential monte carlo methods for dynamic systems
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    • Liu, J.1    Chen, R.2
  • 21
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    • Differential evolution - A simple and efficient adaptive scheme for global optimization over continuous spaces
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    • Storn, R.1    Price, K.2
  • 22
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    • Prediction, filtering and smoothing in non-linear and non-normal cases using monte carlo integration
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.