Results 171 to 180 of about 18,880 (196)
Some of the next articles are maybe not open access.
Phasor estimation considering DC component using UKF
2011 International Conference on Advanced Power System Automation and Protection, 2011Electric power quality is ability of the system to deliver electric power service in high quality so that the end use equipment will operate within its design specifications. Introducing power generation using renewable energy can increase regulations and need for reserves due to its natural intermittency.
Happy Novanda +3 more
openaire +1 more source
Improved Performance of Adaptive UKF SLAM with Scaling Parameter
2023Simultaneous Localization and Mapping (SLAM) deals with simultaneous mappingand estimates the position of a robot moving in an environment. One of the most commonmethod used in solving the SLAM problem is Extended Kalman Filter (EKF). EKF is anapproach that gives acceptable results in the ideal simulation environment when the systemmodel is known ...
Navruz, Tuğba Selcen +2 more
openaire +2 more sources
Maximum Likelihood Principle Based Adaptive UKF Algorithm
International Journal of Signal Processing, Image Processing and Pattern Recognition, 2016In this paper, we investigate the state estimation problem of nonlinear systems under the condition that the prior statistical characteristic of noise is unknown. An adaptive unscented Kalman filter (UKF) is proposed. In this algorithm, the maximum likelihood principle is applied to establish the log likelihood function with the unknown noise ...
Li Guo, De-gen Huang
openaire +1 more source
Comments on “Performance evaluation of UKF-based nonlinear filtering”
Automatica, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wu, Yuanxin, Hu, Dewen, Hu, Xiaoping
openaire +2 more sources
Development of Extended MVEM based UKF estimators
2011 Annual IEEE India Conference, 2011Mean Value Engine Models (MVEM) have been used to model the averaged dynamics of an automobile engine system for automotive control and fault diagnosis. For these purposes, it is common to estimate states of interest given noisy measurements using state observers.
Jonathan Vasu +2 more
openaire +1 more source
UKF-Based Image Filtering and 3D Reconstruction
2019In the global world of robotics, robots have missions to achieve interactively with human environments and online learning. Practically, for null error of a robot’s achievement, robotics systems should be provided with minimal certain information in advance. This is crucial for any high-performance robotics systems.
Abdulkader Joukhadar +2 more
openaire +1 more source
ANFIS Based UKF-SLAM Path Planning Method
2019 3rd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 2019Reducing error in each step of robot motion is one of the important issue in the Simultaneous Localization and Mapping algorithms. Hence, an accurate estimation method can enhance the behavior of the SLAM algorithm in the unknown environment. A hybrid estimation method is presented in this work which is consisted of ANFIS with Unscented Kalman Filter ...
Salman Sahib M. Gharib, Parvaneh Esmaili
openaire +1 more source
Performance evaluation of UKF-based nonlinear filtering
Automatica, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Xiong, K., Zhang, H. Y., Chan, C. W.
openaire +1 more source
Nonlinear Target Identification and Tracking Using UKF
2007 IEEE International Conference on Granular Computing (GRC 2007), 2007In this paper, we implemented target identification algorithm using Dempster Shafer theory (DST) and tracking algorithm using extended Kalman filter (EKF) and unscented Kalman filter (UKF). A tracking filter is developed and simulated based on UKF to track nonlinear, ballistic and reentry targets.
KHAIRNAR, DG +3 more
openaire +2 more sources
UKF Fusion Estimation for Indoor RFID Tracking
Applied Mechanics and Materials, 2013Radio frequency identification (RFID) can effectively get the accurate location information for indoor tracking system. The readers cant be placed at any position in the practical system. the reader would be more intensive at some places, where will obtain measurements from several readers, while the reader will be placed less at others place, where ...
openaire +1 more source