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Volumn 15, Issue PART 1, 2009, Pages 1375-1380

Kalman-type filtering for stochastic systems with state-dependent noise and Markovian jumps

Author keywords

Kalman filters; Markov parameters; Numerical algorithms; Riccati equations; Stochastic systems

Indexed keywords

CONTINUOUS TIME; DISCRETE-TIME MODEL; FILTERING PROBLEMS; KALMAN-FILTERING; LINEAR STOCHASTIC SYSTEM; MARKOV PARAMETERS; MARKOVIAN JUMPS; NUMERICAL ALGORITHMS; OPTIMAL FILTER; STATE-DEPENDENT; STATE-DEPENDENT NOISE; UNIFIED APPROACH;

EID: 79952489619     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090706-3-FR-2004.0236     Document Type: Conference Paper
Times cited : (17)

References (15)
  • 7
    • 80051651855 scopus 로고    scopus 로고
    • Preprint 7/2008, Preprint series of the Institute of mathematics of the Romanian academy
    • 2-optimal control. Preprint no. 7/2008, Preprint series of the Institute of mathematics of the Romanian academy.
    • 2-optimal Control
    • Dragan, V.1    Morozan, T.2
  • 11
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • R. Kalman. A new approach to linear filtering and prediction problems. ASME-Trans.-Part D, J. Basic Engineering, 82:34-45, 1960.
    • (1960) ASME-Trans.-Part D J. Basic Engineering , vol.82 , pp. 34-45
    • Kalman, R.1
  • 12
    • 85024423711 scopus 로고
    • New results in linear filtering and prediction theory
    • New results in linear filtering and prediction theory. ASME Trans.-Part D, J. Basic Engineering, 83:95-108, 1961.
    • (1961) ASME Trans.-Part D, J. Basic Engineering , vol.83 , pp. 95-108


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.