منابع مشابه
Adaptive Kalman Filtering
The increased power of small computers makes the use of parameter estimation methods attractive. Such methods have a number of uses in analytical chemistry. When valid models are available, many methods work well, but when models used in the estimation are in error, most methods fail. Methods based on the Kalman filter, a linear recursive estimator, may be modified to perform parameter estimati...
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In this paper the problem of the speed estimation of an Unmanned Aerial Vehicle is addressed, when only the standard outputs (acceleration, angles and angular speeds) are available for measurement. We focus our analysis on a prototype drone a 4 rotors helicopter robotwhich is not equipped with GPS related devices and relies on the Inertial Measurement Unit (IMU) only. Two different approaches h...
متن کاملAdaptive Kalman Filtering through Fuzzy Logic
− In this paper a development of an adaptive Kalman filter through a fuzzy inference system (FIS) is outlined. The adaptation is concerned with the imposition of conditions under which the filter measurement noise covariance matrix R or the process noise covariance matrix Q are estimated. The adaptive adjustment is carried out using a FIS based on the whiteness of the filter innovation sequence...
متن کاملAdaptive Classification by Variational Kalman Filtering
We propose in this paper a probabilistic approach for adaptive inference of generalized nonlinear classification that combines the computational advantage of a parametric solution with the flexibility of sequential sampling techniques. We regard the parameters of the classifier as latent states in a first order Markov process and propose an algorithm which can be regarded as variational general...
متن کاملAdaptive ensemble Kalman filtering of nonlinear systems
A necessary ingredient of an ensemble Kalman filter is covariance inflation [1], used to control filter divergence and compensate for model error. There is an ongoing search for inflation tunings that can be learned adaptively. Early in the development of Kalman filtering, Mehra [2] enabled adaptivity in the context of linear dynamics with white noise model errors by showing how to estimate the...
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ژورنال
عنوان ژورنال: Journal of Research of the National Bureau of Standards
سال: 1985
ISSN: 0160-1741
DOI: 10.6028/jres.090.032