Results 61 to 70 of about 65,516 (291)
Implementation and Performance Analysis of Kalman Filters with Consistency Validation
Mathematics, 2023 This paper provides a useful supplement note for implementing the Kalman filters. The material presented in this work points out several significant highlights with emphasis on performance evaluation and consistency validation between the discrete Kalman
Dah-Jing Jwo, Amita Biswal
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A Kalman Filter Approach for Biomolecular Systems with Noise Covariance Updating
, 2018 An important part of system modeling is determining parameter values, particularly for biomolecular systems, where direct measurements of individual parameters are typically hard.
Chakrabarti, Kushal +3 more
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Advanced Intelligent Systems, EarlyView.Musculoskeletal humanoids exhibit rich biomechanical properties that remain insufficiently unified in prior discussions. This article systematically categorizes muscle characteristics into five properties: redundancy, independency, anisotropy, variable moment arm, and nonlinear elasticity, and analyzes their combined effects on control.
Kento Kawaharazuka +2 more
wiley +1 more source
Sensors, 2020 The paper presents a method of computational complexity reduction in Extended Kalman Filters dedicated for systems with non-linear measurement models.
Piotr Kaniewski
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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.
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Advanced Intelligent Systems, EarlyView.A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang +3 more
wiley +1 more source
Reduce Position and Velocity RMS Error of Non-linear Filters in LEO Satellite Radar Tracking [PDF]
فصلنامه علوم و فناوری فضایی, 2017 For the detection of and tracking thelow earth orbit Satellites (LEO), there are different methods such as optic, laser and radar tracking, among which radar tracking is the best.
Javad Salem +2 more
doaj
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 +2 more
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Advanced Intelligent Systems, EarlyView.: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
Combining inflation-free and iterative ensemble Kalman filters for strongly nonlinear systems [PDF]
Nonlinear Processes in Geophysics, 2012 The finite-size ensemble Kalman filter (EnKF-N) is an ensemble Kalman filter (EnKF) which, in perfect model condition, does not require inflation because it partially accounts for the ensemble sampling errors.
M. Bocquet, P. Sakov
doaj +1 more source