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Volumn 35, Issue 2, 1990, Pages 141-147

Estimating time-varying parameters by the kaiman filter based algorithm: Stability and convergence

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL SYSTEMS, STOCHASTIC; SIGNAL FILTERING AND PREDICTION--KALMAN FILTERING;

EID: 0025388355     PISSN: 00189286     EISSN: 15582523     Source Type: Journal    
DOI: 10.1109/9.45169     Document Type: Article
Times cited : (114)

References (21)
  • 2
    • 0021819062 scopus 로고
    • A smoothness priors time-varying AR coefficient modeling of nonstationary covariance time series
    • G. Kitagawa and W. Gersh, “A smoothness priors time-varying AR coefficient modeling of nonstationary covariance time series,” IEEE Trans. Automat. Contr., vol. AC-30, pp. 48–56, 1985.
    • (1985) IEEE Trans. Automat. Contr. , vol.AC-30 , pp. 48-56
    • Kitagawa, G.1    Gersh, W.2
  • 3
    • 84954874481 scopus 로고
    • Optimal nonstationary estimation of the parameters of a linear system with Gaussian inputs
    • D. Q. Mayne, “Optimal nonstationary estimation of the parameters of a linear system with Gaussian inputs,” J. Electron. Conf., vol. 14, p. 101, 1963.
    • (1963) J. Electron. Conf. , vol.14 , pp. 101
    • Mayne, D.Q.1
  • 4
    • 0002896563 scopus 로고
    • Problems of identification andcontrol
    • K. J. Astrom and B. Wittenmark, “Problems of identification andcontrol,” J. Math. Anal. Appl., vol. 34, pp. 90–113, 1971.
    • (1971) J. Math. Anal. Appl. , vol.34 , pp. 90-113
    • Astrom, K.J.1    Wittenmark, B.2
  • 5
    • 84945001762 scopus 로고    scopus 로고
    • Stochastic adaptive control and martingale limit theory
    • to be published.
    • V. Solo, “Stochastic adaptive control and martingale limit theory,” IEEE Trans. Automat. Contr., to be published.
    • IEEE Trans. Automat. Contr.
    • Solo, V.1
  • 8
    • 0024172213 scopus 로고
    • Tracking randomly varying parameters—Analysis of a standard algorithm
    • Austin, TX, Dec.
    • L. Guo, L. G. Xia, and J. B. Moore, “Tracking randomly varying parameters—Analysis of a standard algorithm,” in Proc. 27th IEEE Conf. Decision Contr., Austin, TX, Dec. 1988.
    • (1988) Proc. 27th IEEE Conf. Decision Contr.
    • Guo, L.1    Xia, L.G.2    Moore, J.B.3
  • 9
    • 0016987049 scopus 로고
    • Stationary and nonstationary learning characteristics of the LMS adaptive filter
    • B. Widow et al., “Stationary and nonstationary learning characteristics of the LMS adaptive filter,” Proc. IEEE, vol. 64, pp. 1151–1162, 1976.
    • (1976) Proc. IEEE , vol.64 , pp. 1151-1162
    • Widow, B.1
  • 10
    • 0020141256 scopus 로고
    • A measure of the tracking capability of recursive stochastic algorithms with constant gains
    • A. Benveniste and G. Ruget, “A measure of the tracking capability of recursive stochastic algorithms with constant gains,” IEEE Trans. Automat. Contr., vol. AC-27, pp. 639–649, 1982.
    • (1982) IEEE Trans. Automat. Contr. , vol.AC-27 , pp. 639-649
    • Benveniste, A.1    Ruget, G.2
  • 11
    • 0004754018 scopus 로고
    • Tracking error bounds of adaptive nonstationary filtering
    • E. Eweda and O. Macchi, “Tracking error bounds of adaptive nonstationary filtering,” Automatica, vol. 21, no. 3, pp. 293–302, 1985.
    • (1985) Automatica , vol.21 , Issue.3 , pp. 293-302
    • Eweda, E.1    Macchi, O.2
  • 12
    • 0022682870 scopus 로고
    • Optimization of adaptive identification for time varying filters
    • O. Macchi, “Optimization of adaptive identification for time varying filters,” IEEE Trans. Automat. Contr., vol. AC-31, pp. 283–287, 1986.
    • (1986) IEEE Trans. Automat. Contr. , vol.AC-31 , pp. 283-287
    • Macchi, O.1
  • 13
    • 84987423420 scopus 로고
    • Design of adaptive algorithms for the tracking of time-varying systems
    • A. Benveniste, “Design of adaptive algorithms for the tracking of time-varying systems,” Int. J. Adaptive Contr. Signal Processing, vol. 1, pp. 3–29, 1987.
    • (1987) Int. J. Adaptive Contr. Signal Processing , vol.1 , pp. 3-29
    • Benveniste, A.1
  • 14
    • 0019047343 scopus 로고
    • Performance of adaptive estimation algorithm in dependent random environments
    • R. R. Bitmead and B. D. O. Anderson, “Performance of adaptive estimation algorithm in dependent random environments,” IEEE Trans. Automat. Contr., vol. AC-25, pp. 788–794, 1980.
    • (1980) IEEE Trans. Automat. Contr. , vol.AC-25 , pp. 788-794
    • Bitmead, R.R.1    Anderson, B.D.O.2
  • 15
    • 0022722986 scopus 로고
    • On almost sure convergence of adaptive algorithms
    • K. H. Shi and F. Kozin, “On almost sure convergence of adaptive algorithms,” IEEE Trans. Automat. Contr., vol. AC-31, pp. 471–474, 1986.
    • (1986) IEEE Trans. Automat. Contr. , vol.AC-31 , pp. 471-474
    • Shi, K.H.1    Kozin, F.2
  • 18
    • 0000315398 scopus 로고
    • Local convergence of martingales and the law of large numbers
    • Y. S. Chow, “Local convergence of martingales and the law of large numbers,” Ann. Math. Slat., vol. 36, pp. 552–558, 1965.
    • (1965) Ann. Math. Slat. , vol.36 , pp. 552-558
    • Chow, Y.S.1
  • 20
    • 0023311569 scopus 로고
    • A new approach to stochastic adaptive control
    • S. P. Meyn and P. E. Caines, “A new approach to stochastic adaptive control,” IEEE Trans. Automat. Contr., vol. AC-32, pp. 220–226, 1987.
    • (1987) IEEE Trans. Automat. Contr. , vol.AC-32 , pp. 220-226
    • Meyn, S.P.1    Caines, P.E.2
  • 21
    • 0024622836 scopus 로고
    • Adaptive control for time-varying systems: A combination of martingale and Markov chain techniques
    • L. Guo and S. P. Meyn, “Adaptive control for time-varying systems: A combination of martingale and Markov chain techniques,” Int. J. Adaptive Contr. Signal Processing, vol. 3, no. 1, pp. 1–14, 1989.
    • (1989) Int. J. Adaptive Contr. Signal Processing , vol.3 , Issue.1 , pp. 1-14
    • Guo, L.1    Meyn, S.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.