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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
The state estimation problem with observations which may or may not contain a signal at any sample t...
AbstractFor many nonlinear dynamic systems, the choice of nonlinear Bayesian filtering algorithms is...
http://deepblue.lib.umich.edu/bitstream/2027.42/6973/5/bbl3526.0001.001.pdfhttp://deepblue.lib.umich...
International audienceThe problem considered is state estimation in the presence of unknow state and...
In state estimation problems, often, the true states satisfy certain constraints resulting from the ...
In principle, general approaches to optimal nonlinear filtering can be described in a unified way fr...
A real-time state filtering and prediction scheme which is adaptive, recursive, and suboptimal is pr...
This thesis deals with two aspects of recursive state estimation: distributed estimation and estimat...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1989.Includes bibliogr...
This paper presents a new filter developed for exact nonlinear Bayesian state estimation and model r...
This paper presents a real-time recursive state filtering and prediction scheme (PR) for discrete no...
Today, accurate navigation systems often consists of several separate navigation systems which are i...
A State Estimation NLQDMC algorithm is presented for use with nonlinear input-output models. The pro...
estimator that dominates the maximum-likelihood estimate of the mean of a p-variate normal distribut...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
The state estimation problem with observations which may or may not contain a signal at any sample t...
AbstractFor many nonlinear dynamic systems, the choice of nonlinear Bayesian filtering algorithms is...
http://deepblue.lib.umich.edu/bitstream/2027.42/6973/5/bbl3526.0001.001.pdfhttp://deepblue.lib.umich...
International audienceThe problem considered is state estimation in the presence of unknow state and...
In state estimation problems, often, the true states satisfy certain constraints resulting from the ...
In principle, general approaches to optimal nonlinear filtering can be described in a unified way fr...
A real-time state filtering and prediction scheme which is adaptive, recursive, and suboptimal is pr...
This thesis deals with two aspects of recursive state estimation: distributed estimation and estimat...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1989.Includes bibliogr...
This paper presents a new filter developed for exact nonlinear Bayesian state estimation and model r...
This paper presents a real-time recursive state filtering and prediction scheme (PR) for discrete no...
Today, accurate navigation systems often consists of several separate navigation systems which are i...
A State Estimation NLQDMC algorithm is presented for use with nonlinear input-output models. The pro...
estimator that dominates the maximum-likelihood estimate of the mean of a p-variate normal distribut...
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer S...
The state estimation problem with observations which may or may not contain a signal at any sample t...
AbstractFor many nonlinear dynamic systems, the choice of nonlinear Bayesian filtering algorithms is...