Results 91 to 100 of about 4,548 (274)

Noise Adaptive Kalman Filter for Joint Polarization Tracking and Channel Equalization Using Cascaded Covariance Matching

IEEE Photonics Journal, 2018
We propose a noise adaptive Kalman filter for joint polarization tracking and channel equalization using cascaded covariance matching. With the process noise covariance (Q) and the measurement noise covariance (R) estimated in a cascaded manner, the ...
Qun Zhang, Yanfu Yang, Qian Xiang, Qianwen He, Zhongqing Zhou, Yong Yao   +5 more
doaj   +1 more source

Inertial‐Based LQG Control: A New Look at Inverted‐Pendulum Stabilization

International Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Linear‐quadratic Gaussian (LQG) control is a well‐established method for optimal control through state estimation, particularly in stabilizing an inverted pendulum on a cart. In standard laboratory setups, sensor redundancy enables direct measurement of configuration variables using displacement sensors and rotary encoders. However, in outdoor
Daniel Engelsman, Itzik Klein
wiley   +1 more source

Dynamic multidimensional sensor data acquisition with adaptive Kalman filtering [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Traditional mobile sensing systems often experience a decline in data acquisition accuracy in dynamic environments due to the use of fixed-parameter Kalman filters, which lack adaptability to changes in motion states and sensor noise.
B. Yu
doaj   +1 more source

Optimal control and multitrophic physiologically‐based models: The binomial for successful decision support systems in insect pest management

Pest Management Science, EarlyView.
Decision‐making in integrated pest management (IPM) corresponds to an optimisation problem where the plant–pest dynamics and the control actions are constraints and where the objective function accounts for the costs of the treatments and the total income at the harvest time.
Luca Rossini, Ouassim Benhamouche, Emanuele Garone   +2 more
wiley   +1 more source

Multiple Model Kalman And Particle Filters And Applications: A Survey [PDF]

, 2019
Kalman Filters (KF) is a recursive estimation algorithm, a special case of Bayesian estimators under Gaussian, linear and quadratic conditions. For non-linear systems, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) provide first and ...
Akca, Alper, Efe, M. Onder, EFE, MEHMET ÖNDER   +2 more
core   +1 more source

Towards operational assimilation of surface‐sensitive microwave radiances over land at Environment and Climate Change Canada: Investigation of key factors using a 1D‐EnVar framework

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang, Mark Buehner, Yi Huang, Maziar Bani Shahabadi, Joël Bédard   +4 more
wiley   +1 more source

Improved State-of-Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Parameter Estimation and Multi-Innovation Adaptive Robust Unscented Kalman Filter

Energies
In this study, an improved adaptive robust unscented Kalman Filter (ARUKF) is proposed for an accurate state-of-charge (SOC) estimation of battery management system (BMS) in electric vehicles (EV). The extended Kalman Filter (EKF) algorithm is first used
Cheng Li, Gi-Woo Kim
doaj   +1 more source

A structurally localized ensemble Kalman filtering approach

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih, Ibrahim Hoteit   +1 more
wiley   +1 more source

Exact particle flow Daum-Huang filters for mobile robot localization in occupancy grid maps

Complex & Intelligent Systems
In this paper, we present a novel localization algorithm for mobile robots navigating in complex planar environments, a critical capability for various real-world applications such as autonomous driving, robotic assistance, and industrial automation ...
Domonkos Csuzdi, Tamás Bécsi, Péter Gáspár, Olivér Törő   +3 more
doaj   +1 more source

The benefits of a hybrid‐3DEnVar data assimilation scheme for the convection‐permitting NWP model AROME–Austria

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti, Philipp Griewank, Florian Meier, Martin Weissmann   +3 more
wiley   +1 more source