Výsledky vyhledávání - "H W, Sorenson"

Recursive Bayesian estimation using piece-wise constant approximations

Publikováno v: Automatica. 24:789-801

In Bayesian estimation, the objective is to calculate the complete density function for an unknown quantity conditioned on noisy observations of that quantity. This work considers recursive estimation of a nonlinear discrete-time system state using s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ca4d40e1f6a5f209ffcd880a4f150d63
https://doi.org/10.1016/0005-1098(88)90055-6

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Bayesian parameter estimation

Autor: S. C. Kramer, H. W. Sorenson

Publikováno v: IEEE Transactions on Automatic Control. 33:217-222

Taking the Bayesian approach in solving the discrete-time parameter estimation problem has two major results: the unknown parameters are legitimately included as additional system states, and the computational objective becomes calculation of the ent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c5e12f53d8b30d29d7768d0afe4b659
https://doi.org/10.1109/9.395

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On reducing computational burden in the Kalman filter

Autor: H. W. Sorenson, V. S. Samant

Publikováno v: Automatica. 10:61-68

A minimum variance linear filter which estimates only a part of the state is presented in this paper. The undesired part of the state is eliminated by a simple linear transformation. A filter is derived for the new reduced order plant dynamics which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1a5283ab13c70e59eb644c9e1ad0a028
https://doi.org/10.1016/0005-1098(74)90010-7

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Non-linear filtering by approximation of the a posteriori density

Autor: H. W. Sorenson, Allen R. Stubberud

Publikováno v: International Journal of Control. 8:33-51

The problem of estimating from noisy measurement data the state of a dynamical system described by non-linear difference equations is considered. The measurement data have a non-linear relation with the state and are assumed to be available at discre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cc0a8814b7e7471c1a77fec468093ef7
https://doi.org/10.1080/00207176808905650

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Recursive Filtering for Systems with Small but Non-negligible Non-linearities

Autor: H. W. Sorenson, Allen R. Stubberud

Publikováno v: International Journal of Control. 7:271-280

Linear estimation theory has been applied extensively to nonlinear systems by assuming that perturbations from a reference solution can be described by linear equations. As long as the second order (and higher) terms in the perturbation equations are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::159c0e632c8619ce9212cc7b9a60e06f
https://doi.org/10.1080/00207176808905606

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Least-squares estimation: from Gauss to Kalman

Autor: H. W. Sorenson

Publikováno v: IEEE Spectrum. 7:63-68

This discussion is directed to least-squares estimation theory, from its inception by Gauss1 to its modern form, as developed by Kalman.2 To aid in furnishing the desired perspective, the contributions and insights provided by Gauss are described and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a9c5022bbff69e49bfd97a4011e352da
https://doi.org/10.1109/mspec.1970.5213471

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Recursive bayesian estimation using gaussian sums

Autor: H. W. Sorenson, D. L. Alspach

Publikováno v: Automatica. 7:465-479

The Bayesian recursion relations which describe the behavior of the a posteriori probability density function of the state of a time-discrete stochastic system conditioned on available measurement data cannot generally be solved in closed-form when t

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https://doi.org/10.1016/0005-1098(71)90097-5

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Trismus pseudocamptodactyly syndrome: Dutch-Kentucky syndrome

Autor: C C, Mabry, I S, Barnett, M W, Hutcheson, H W, Sorenson

Publikováno v: The Journal of pediatrics. 85(4)

A hand, foot, and mouth combination of anomalies, which is apparent on motion, has been traced through eight generations of a southern Appalachian family. The clinical features from birth to old age are presented, and attention is called to the handi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::bad2a8415d861555ede001e97bb3dae7
https://pubmed.ncbi.nlm.nih.gov/4443857

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Synthesis of linear stochastic signals in identification problems

Autor: B. R. Upadhyaya, H. W. Sorenson

Publikováno v: 1976 IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes.

Stationary stochastic inputs are generated from linear processes of the autoregressive moving average type. Since the spectral density of such an input process is nonzero everywhere, this belongs to the class of admissible signals satisfying identifi

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https://doi.org/10.1109/cdc.1976.267862

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