Results 21 to 30 of about 64,413 (127)

Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters [PDF]

, 2010
Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided with a fast and reliable tracking system that localizes people in the neighbourhood ...
A. Tapus, B. Ristic, C. Kwok, D. Schulz, G. Bradski, Huosheng Hu, J. K. Uhlmann, J. N. K. Liu, M. Arulampalam, N. Bellotto, N. J. Gordon, Nicola Bellotto, R. Kalman, S. J. Julier, Y. Bar-Shalom   +14 more
core   +1 more source

State-dependent Kalman filters for robust engine control [PDF]

, 2006
Vehicle emissions variations impose significant challenges to the automotive industry. In these simulation studies, nonlinear estimation techniques based on state-dependent and extended Kalman filtering are developed for spark ignition engines to enhance
Dutka, Arkadiusz, Grimble, Michael J., Javaherian, Hossein   +2 more
core   +1 more source

A Simulation Platform for Localization and Mapping [PDF]

, 2005
: In this paper we present a simulation platform for evaluate methods for simultaneous location and mapping. The platform is based on The Kalmtool 3 toolbox which is a set of MATLAB tools for state estimation for nonlinear systems.
Poulsen, Niels Kjølstad, Ravn, Ole, Sejerøe, Thomas Hanefeld   +2 more
core   +2 more sources

Distributing the Kalman Filter for Large-Scale Systems

, 2008
This paper derives a \emph{distributed} Kalman filter to estimate a sparsely connected, large-scale, $n-$dimensional, dynamical system monitored by a network of $N$ sensors. Local Kalman filters are implemented on the ($n_l-$dimensional, where $n_l\ll n$)
Khan, Usman A., Moura, Jose M. F.
core   +1 more source

A mollified Ensemble Kalman filter

, 2010
It is well recognized that discontinuous analysis increments of sequential data assimilation systems, such as ensemble Kalman filters, might lead to spurious high frequency adjustment processes in the model dynamics.
Anderson, Ballabrera-Poy, Bergemann, Bloom, Burgers, Cotter, Evensen, Friedrichs, García-Archilla, Gaspari, Hamill, Hoke, Houtekamer, Houtekamer, Izaguirre, Kepert, Leimkuhler, Lorenz, Lorenz, Macpherson, Neef, Oke, Polavarapu, Salmon, Simon, Tippett, Wirosoetisno, Wirosoetisno   +27 more
core   +1 more source

Morphing Ensemble Kalman Filters

, 2007
A new type of ensemble filter is proposed, which combines an ensemble Kalman filter (EnKF) with the ideas of morphing and registration from image processing.
Alexander G. D., Anderson J. L., Brown L. G., Burgers G., Chen Y., Davis C., Evensen G., Evensen G.,, Frey A. E., Gao P., Hoffman R. N., Houtekamer P., Jan Mandel, Jonathan D. Beezley, Kalman R. E., Ravela S.   +15 more
core   +2 more sources

The Coordinate Particle Filter - A novel Particle Filter for High Dimensional Systems

, 2015
Parametric filters, such as the Extended Kalman Filter and the Unscented Kalman Filter, typically scale well with the dimensionality of the problem, but they are known to fail if the posterior state distribution cannot be closely approximated by a ...
Bohg, Jeannette, Kappler, Daniel, Pfreundt, Claudia, Schaal, Stefan, Wüthrich, Manuel   +4 more
core   +1 more source

Comparing Kalman Filters and Observers for Power System Dynamic State Estimation with Model Uncertainty and Malicious Cyber Attacks

, 2018
Kalman filters and observers are two main classes of dynamic state estimation (DSE) routines. Power system DSE has been implemented by various Kalman filters, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF).
Qi, Junjian, Taha, Ahmad F., Wang, Jianhui   +2 more
core  

Convergence analysis of a family of robust Kalman filters based on the contraction principle

, 2017
In this paper we analyze the convergence of a family of robust Kalman filters. For each filter of this family the model uncertainty is tuned according to the so called tolerance parameter.
Zorzi, Mattia
core   +1 more source

Sensor failure detection system [PDF]

Advanced concepts for detecting, isolating, and accommodating sensor failures were studied to determine their applicability to the gas turbine control problem.
Akhter, M. M., Beattie, E. C., Laprad, R. F., Mcglone, M. E., Rock, S. M.   +4 more
core   +1 more source