Results 91 to 100 of about 9,465 (199)
Autonomous landing of aircraft during the approaching stage is a crucial part of the autonomous driving of aircraft. This paper mainly investigates the localization problem of aircraft during the end stage of the approaching process via a visual technique.
Chenglong Han +5 more
wiley +1 more source
Vehicle sideslip angle is one of the irreplaceable variable indicators for evaluating vehicle stability. However, it is difficult to directly measure vehicle sideslip angle with onboard sensors. In order to obtain precise vehicle sideslip angle using onboard sensors, a novel observation strategy based on fusion of steady‐state model method and square ...
Zhendong Zhu +3 more
wiley +1 more source
Extended target tracking with mobility based on GPR-AUKF
Simultaneously estimating the kinematic state and extent of extended targets is a nonlinear and high-dimensional problem. While the extended Kalman filter (EKF) is widely employed to achieve this goal, it may not be sufficient for mobility targets.
Renli Zhang +6 more
doaj +1 more source
Simulation‐Based Approaches to Thermal Estimation in Electric Vehicle Battery Cells
This study presents a simulation‐based evaluation of a hybrid fiber Bragg grating (FBG) temperature estimation framework combining the extended Kalman filter (EKF) and unscented Kalman filter (UKF) for electric vehicle (EV) lithium‐ion battery cells. The work addresses key gaps in nonlinear thermal observability, robustness under high C‐rate excitation,
Kritzman P. Jooste +3 more
wiley +1 more source
SOC estimation of lead–carbon battery based on GA-MIUKF algorithm
The paper proposes a SOC (State of Charge) estimation method for lead–carbon batteries based on the GA-MIUKF algorithm. The GA-MIUKF algorithm combines GA (Genetic Algorithm) for global search and optimization with the MI-UKF (Multi-innovation Unscented ...
Lu Wang +5 more
doaj +1 more source
Robust MPS-INS UKF Integration and SIR-Based Hyperparameter Estimation in a 3D Flight Environment
This study introduces a pose estimation algorithm integrating an Inertial Navigation System (INS) with an Alternating Current (AC) magnetic field-based navigation system, referred to as the Magnetic Positioning System (MPS), evaluated using a 6 Degrees ...
Juyoung Seo +3 more
doaj +1 more source
Sparsity‐Constrained Online Identification of Parameter Degradation in Multidamper Systems
The long‐term degradation of damper performance under adverse conditions compromises energy dissipation, posing a potential risk to structural safety. Online degradation identification approaches provide benefits, including in situ evaluation, real‐time processing, and high computational efficiency, among which Kalman filter–based methods offer ...
Xiongjun Yang +6 more
wiley +1 more source
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 +2 more
core
A Novel Weighted Unscented Kalman Filter for Dynamic Load Identification
To address the limitations of traditional unscented Kalman filter (UKF)‐based algorithms—which typically require either additional displacement measurements or iterative optimization for load identification—this study proposes a fast and convenient load excitation identification algorithm.
Yanzhe Zhang +4 more
wiley +1 more source
Development of navigation system for large-scale and high-speed underactuated AUV
[Objectives] This paper details the development of a navigation system for a new model of large-scale and high-speed underactuated Autonomous Underwater Vehicle(AUV).[Methods] First, the hardware composition and software architecture of AUV navigation ...
ZHAI Yunfeng +4 more
doaj +1 more source

