Multisensor estimation: New distributed algorithms.
Plataniotis, K.N., Lainiotis, D.G. (1996)
Mathematical Problems in Engineering
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Displaying similar documents to “Discrete Riccati equation solutions: Distributed algorithms.”
Multisensor estimation: New distributed algorithms.
Highly efficient sigma point filter for spacecraft attitude and rate estimation.
Fan, Chunshi, You, Zheng (2009)
Mathematical Problems in Engineering
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State estimation of linear dynamic system with unknown input and uncertain observation using dynamic programming
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Control and Cybernetics
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On-line parameter estimation and two-level control of large-scale discrete time systems
Goshaidas Ray, Subimal De (1997)
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Simultaneous Localization And Mapping: A feature-based probabilistic approach
Piotr Skrzypczyński (2009)
International Journal of Applied Mathematics and Computer Science
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This article provides an introduction to Simultaneous Localization And Mapping (SLAM), with the focus on probabilistic SLAM utilizing a feature-based description of the environment. A probabilistic formulation of the SLAM problem is introduced, and a solution based on the Extended Kalman Filter (EKF-SLAM) is shown. Important issues of convergence, consistency, observability, data association and scaling in EKF-SLAM are discussed from both theoretical and practical points of view. Major...
Recursive linear estimation for discrete-time systems in the presence of different multiplicative observation noises.
Sánchez-González, C., García-Muñoz, T.M. (2010)
Discrete Dynamics in Nature and Society
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Filtering of signals transmitted in multichannel from Chandrasekhar and Riccati recursions.
S. Nakamori, A. Hermoso, J. Jiménez, J. Linares (2005)
Extracta Mathematicae
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In this paper two recursive algorithms are proposed and compared as a solution of the least mean-squared error linear filtering problem of a wide-sense stationary scalar signal from uncertain observations perturbed by white and coloured additive noises. Considering that the state-space model of the signal is not available and that the variables modelling the uncertainty are not independent, the proposed algorithms are derived by using covariance information. The difference between both...
Results of short-period helicopter system identification using output-error and hybrid search-gradient optimization algorithm.
Cruz, Ronaldo Vieira, Góes, Luiz Carlos Sandoval (2010)
Mathematical Problems in Engineering
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Nonlinear state observers and extended Kalman filters for battery systems
Andreas Rauh, Saif S. Butt, Harald Aschemann (2013)
International Journal of Applied Mathematics and Computer Science
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The focus of this paper is to develop reliable observer and filtering techniques for finite-dimensional battery models that adequately describe the charging and discharging behaviors. For this purpose, an experimentally validated battery model taken from the literature is extended by a mathematical description that represents parameter variations caused by aging. The corresponding disturbance models account for the fact that neither the state of charge, nor the above-mentioned parameter...