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Volumn 20, Issue 2, 2007, Pages 262-272

Peak covariance stability of a random riccati equation arising from Kalman filtering with observation losses

Author keywords

Kalman filtering; Observation losses; Random Riccati equations; Stability; Stopping time

Indexed keywords

OBSERVATION LOSSES; PEAK COVARIANCE STABILITY; RANDOM RICCATI EQUATIONS; STOPPING TIME;

EID: 34248994989     PISSN: 10096124     EISSN: 15597067     Source Type: Journal    
DOI: 10.1007/s11424-007-9023-4     Document Type: Conference Paper
Times cited : (25)

References (8)
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  • 2
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    • On a stochastic sensor selection algorithm with application in sensor scheduling and sensor coverage
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    • Gupta, V.1    Chung, T.H.2    Hassibi, B.3    Murray, R.M.4
  • 5
    • 0043235563 scopus 로고    scopus 로고
    • On stability of random Riccati equation
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    • (1999) Science in China (Series E) , vol.42 , Issue.2 , pp. 136-148
    • Wang, Y.1    Guo, L.2
  • 6
    • 34249020324 scopus 로고    scopus 로고
    • Kalman filter with Markovian packet losses and stability criteria
    • San Diego, USA
    • M. Huang and S. Dey, Kalman filter with Markovian packet losses and stability criteria, in Proceedings of the 45th Conference on Decision and Control, San Diego, USA, 2006, 5621-5626.
    • (2006) Proceedings of the 45th Conference on Decision and Control , pp. 5621-5626
    • Huang, M.1    Dey, S.2
  • 7
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    • Stability of Kalman filtering with Markovian packet losses
    • M. Huang and S. Dey, Stability of Kalman filtering with Markovian packet losses, Automatica, 2007, 43(4).
    • (2007) Automatica , vol.43 , Issue.4
    • Huang, M.1    Dey, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.