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Results 1 to 25 of 7170

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Effects of measurement unobservability on neural extended Kalman filter trackingSTUBBERUD, Stephen C; KRAMER, Kathleen A.Proceedings of SPIE, the International Society for Optical Engineering. 2009, Vol 7336, issn 0277-786X, isbn 978-0-8194-7602-9 0-8194-7602-1, 1Vol, 733605.1-733605.10Conference Paper

A NOTE ON KALMAN-BUCY FILTERS WITH ZERO MEASUREMENT NOISE. = NOTE SUR LES FILTRES DE KALMAN-BUCY AVEC BRUIT DE MESURE NULMOYLAN PJ.1974; I.E.E.E. TRANS. AUTOMAT. CONTROL; U.S.A.; DA. 1974; VOL. 19; NO 3; PP. 263-264; BIBL. 3 REF.Article

Wiener and Kalman filters for systems with random parametersGRIMBLE, M. J.IEEE transactions on automatic control. 1984, Vol 29, Num 6, pp 552-554, issn 0018-9286Article

A separated bias identification and state estimation algorithm for non linear systemsCAGLAYAN, A. K; LANCRAFT, R. E.Automatica (Oxford). 1983, Vol 19, Num 5, pp 561-570, issn 0005-1098Article

Optimum inputs for state identificationLIU, P. T; BONGIOVANNI, P. L.Journal of optimization theory and applications. 1985, Vol 45, Num 2, pp 257-264, issn 0022-3239Article

Underweighting Nonlinear MeasurementsZANETTI, Renato; DEMARS, Kyle J; BISHOP, Robert H et al.Journal of guidance, control, and dynamics. 2010, Vol 33, Num 5, pp 1670-1675, issn 0731-5090, 6 p.Article

Fast reconstruction and prediction of frozen flow turbulence based on structured Kalman filtering : Adaptive opticsFRAANJE, Rufus; RICE, Justin; VERHAEGEN, Michel et al.Journal of the Optical Society of America. A, Optics, image science, and vision (Print). 2010, Vol 27, Num 11, issn 1084-7529, A235-A245Article

Modifications to the simplex-optimized adaptive Kalman filterWILK, H. R; BROWN, S. D.Analytica chimica acta. 1989, Vol 225, Num 1, pp 37-52, issn 0003-2670, 16 p.Article

AN APPROACH TO THE DIVERGENCE PREVENTION OF THE EXTENDED KALMAN FILTERYOSHIMURA T; SOEDA T.1972; IN: 3RD SYMP. NONLINEAR ESTIMATION THEORY APPL. PROC. SAN DIEGO, CALIF., 1972; NORTH HOLLYWOOD, CALIF.; WESTERN PERIODICALS CO.; DA. 1972; PP. 282-285; BIBL. 6 REF.Conference Proceedings

A NEW SEQUENTIAL ESTIMATOR FOR NON-LINEAR MODELSLEUNG VP; PADMANABHAN L.1972; INTERNATION. J. SYST. SCI.; G.B.; DA. 1972; VOL. 3; NO 4; PP. 395-406; BIBL. 7 REF.Serial Issue

SINGLE-CHANNEL WHITE-NOISE ESTIMATORS FOR DECONVOLUTION.MENDEL JM; KORMYLO J.1978; GEOPHYSICS; U.S.A.; DA. 1978; VOL. 43; NO 1; PP. 102-124; BIBL. 40 REF.Article

Kalman filtering to suppress spurious signals in adaptive optics control : Adaptive opticsPOYNEER, Lisa A; VERAN, Jean-Pierre.Journal of the Optical Society of America. A, Optics, image science, and vision (Print). 2010, Vol 27, Num 11, issn 1084-7529, A223-A234Article

An experimental study on AEKF method for health monitoring of base-isolated structuresQIANG YIN; LI ZHOU; YANG, Jann N et al.Proceedings of SPIE, the International Society for Optical Engineering. 2010, Vol 7647, issn 0277-786X, isbn 978-0-8194-8062-0 0-8194-8062-2, 764709.1-764709.9, 2Conference Paper

Discovery and invention: The Newtonian revolution in systems technologyKALMAN, Rudolf.Journal of guidance, control, and dynamics. 2003, Vol 26, Num 6, pp 833-837, issn 0731-5090, 5 p.Article

Eintwurf eines optimalen Beobachters in analogie zum Kalmanfilter = Conception d'observateurs optimaux par analogie avec le filtre de Kalman = Optimal observer design from Kalman filteringKUHN, U.RT. Regelungstechnik. 1985, Vol 33, Num 10, pp 322-323, issn 0340-434XArticle

Alternative state estimation from nongaussian observationBOSCO DA MOTA ALVES, J.Mathematics and computers in simulation. 1984, Vol 26, Num 4, pp 340-343, issn 0378-4754Article

A new autonomous celestial navigation method for mars probeSONG, Tingling; NING, Xiaolin; YU, Wenbo et al.Proceedings of SPIE, the International Society for Optical Engineering. 2006, issn 0277-786X, isbn 0-8194-6452-X, Vol. 2, 63574N.1-63574N.6Conference Paper

Setting method of smoothing constant in exponential smoothingMORIMOTO, J; KASAMATSU, H; HIGUCHI, A et al.SICE annual conference. 2004, pp 1735-1738, isbn 4-907764-22-7, 3Vol, 4 p.Conference Paper

Comparison of a grid-based filter to a Kalman filter for the state estimation of a maneuvering targetSILBERT, Mark; MAZZUCHI, Thomas; SARKANI, Shahram et al.Proceedings of SPIE, the International Society for Optical Engineering. 2011, Vol 8137, issn 0277-786X, isbn 978-0-8194-8747-6, 81370J.1-81370J.10Conference Paper

A Unification of Ensemble Square Root Kalman FiltersNERGER, Lars; JANJIC, Tijana; SCHROTER, Jens et al.Monthly weather review. 2012, Vol 140, Num 7, pp 2335-2345, issn 0027-0644, 11 p.Article

Recursive parameter estimation of transfer function modelsMOSTAFA HASHEM SHERIF; LON-MU LIU.International Journal of Control. 1984, Vol 40, Num 3, pp 499-518, issn 0020-7179Article

Comparison of Ensemble Kalman Filters under Non-GaussianityJING LEI; BICKEL, Peter; SNYDER, Chris et al.Monthly weather review. 2010, Vol 138, Num 4, pp 1293-1306, issn 0027-0644, 14 p.Article

Comparative study of simultaneous parameter-state estimationsYAMAKITA, M; MUSHA, Y; KINOSHITA, G et al.IEEE International Conference on Control Applications. 2004, isbn 0-7803-8633-7, 2Vol, Vol2, 1621-1626Conference Paper

Attitude error representations for Kalman filteringMARKLEY, F. Landis.Journal of guidance, control, and dynamics. 2003, Vol 26, Num 2, pp 311-317, issn 0731-5090, 7 p.Article

An EKF-based nonlinear observer with a prescribed degree of stabilityREIF, K; SONNEMANN, F; UNBEHAUEN, R et al.Automatica (Oxford). 1998, Vol 34, Num 9, pp 1119-1123, issn 0005-1098Article

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