Results 1 to 10 of about 404 (153)

Machine Learning for Modeling the Singular Multi-Pantograph Equations

Entropy, 2020
In this study, a new approach to basis of intelligent systems and machine learning algorithms is introduced for solving singular multi-pantograph differential equations (SMDEs).
Amirhosein Mosavi, Manouchehr Shokri, Zulkefli Mansor, Sultan Noman Qasem, Shahab S. Band, Ardashir Mohammadzadeh   +5 more
doaj   +1 more source

Dual-Mode Square Root Cubature Kalman Filter for Miniaturized Underwater Profiler Dead Reckoning

Journal of Marine Science and Engineering
Miniaturized underwater profilers have the advantages of small size, low cost, and flexible deployment, which play together an important role in the persistent monitoring of a designated ocean area.
Yang Zhang, Qingchao Xia, Canjun Yang, Ruiyin Song, Dingze Wu, Xin Zhang, Rui Zhou, Shuyang Ma   +7 more
doaj   +1 more source

Performance Comparison of Event-Triggered RLS-EKF, EKF, CKF and SR-CKF for EV Battery SOC Estimation During Interference Bursts: A Simulation-Based Study

Applied Sciences
Accurate state-of-charge (SOC) estimation is essential for preventing battery degradation, improving energy management, and providing reliable driving-range predictions in electric vehicles (EVs).
Miin-Jong Hao, Yu-Shuo Yang
doaj   +1 more source

Sensorless control of a PMSM based on an RBF neural network-optimized ADRC and SGHCKF-STF algorithm

Measurement + Control
For the problem of the rotor position estimation and control accuracy of permanent magnet synchronous motor (PMSM), this paper proposes a PMSM sensorless based on radial basis function (RBF) neural network optimized Automatic disturbance rejection ...
Haoran Li, Rongyun Zhang, Peicheng Shi, Ye Mei, Kunming Zheng, Tian Qiu   +5 more
doaj   +1 more source

An Improved IMM Algorithm Based on STSRCKF for Maneuvering Target Tracking

IEEE Access, 2019
To overcome the IMM algorithm is easy divergence and low tracking accuracy when dealing with complex maneuvering situations, this paper proposes an improved interactive multiple model strong tracking square room cubature Kalman filter (IIMM-STSRCKF ...
Bo Han, Hanqiao Huang, Lei Lei, Changqiang Huang, Zhuoran Zhang   +4 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

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

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

Vehicle State Joint Estimation Based on Lateral Stiffness. [PDF]

Sensors (Basel), 2023
Quan L, Chang R, Guo C, Li B.
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