Results 101 to 110 of about 1,423 (188)

Design of Vehicle Running States-Fused Estimation Strategy Using Kalman Filters and Tire Force Compensation Method

IEEE Access, 2019
Accurate and reliable vehicle state estimation results are very significant to the active safety, energy optimization, and the intelligent control of vehicles.
Te Chen, Yingfeng Cai, Long Chen, Xing Xu, Haobin Jiang, Xiaoqiang Sun   +5 more
doaj   +1 more source

Tracking maneuver target using interacting multiple model-square root cubature Kalman filter based on range rate measurement

International Journal of Distributed Sensor Networks, 2017
The problem of maneuvering target tracking is a hot issue in the field of target tracking. Due to the range rate measurement containing the maneuvering information of target, it has the important practical significance to study how to use the range rate ...
Hongqiang Liu, Zhongliang Zhou, Haiyan Yang   +2 more
doaj   +1 more source

Real-Time Acceleration Estimation for Low-Thrust Spacecraft Using a Dual-Layer Filter and an Interacting Multiple Model

Aerospace
Orbit determination for non-cooperative targets represents a significant focus of research within the domain of space situational awareness.
Zipeng Wu, Peng Zhang, Fanghua Jiang
doaj   +1 more source

Estimation of vehicle state based on maximum correntropy square-root cubature Kalman Filter

Journal of Measurements in Engineering
State estimation of a vehicle is an important direction under the research branch of automotive dynamics, with the aim of determining state variables that reflect vehicle handling stability and other characteristics. In order to solve the problem of poor estimation accuracy caused by heavy tailed non Gaussian noise in traditional state estimation ...
Yingjie Liu, Dawei Cui
openaire   +1 more source

Solving, Estimating and Selecting Nonlinear Dynamic Economic Models without the Curse of Dimensionality [PDF]

A welfare analysis of a risky policy is impossible within a linear or linearized model and its certainty equivalence property. The presented algorithms are designed as a toolbox for a general model class. The computational challenges are considerable and
Viktor Winschel
core  

Family of state space least mean power of two-based algorithms [PDF]

, 2015

core   +1 more source

Autonomous State Estimation and Observability Analysis for the Taiji Formation Using High-Precision Optical Sensors. [PDF]

Sensors (Basel), 2023
Wen B, Tang W, Peng X, Yang Z.
europepmc   +1 more source

The Labeled Square Root Cubature Information GM-PHD Approach for Multi Extended Targets Tracking. [PDF]

Sensors (Basel)
Liu Z, Zhang S, Yang Z, Qu X, An J.
europepmc   +1 more source

An Improved Cubature Kalman Filter for GNSS-Denied and System-Noise-Varying INS/GNSS Navigation. [PDF]

Micromachines (Basel)
Liu D, Chen X, Cui B.
europepmc   +1 more source

Variable Bayesian-Based Maximum Correntropy Criterion Cubature Kalman Filter with Application to Target Tracking. [PDF]

Entropy (Basel)
Ma Y, Zhang G, Ye S, An D.
europepmc   +1 more source