Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Study on innovation adaptive EKF for in-flight alignment of airborne POS
F Jiancheng, Y Sheng - IEEE Transactions on Instrumentation …, 2011 - ieeexplore.ieee.org
The Position and Orientation measurement System (POS) is a dedicated Strapdown Inertial
Navigation System (SINS)/Global Positioning System (GPS) integrated system for airborne …
Navigation System (SINS)/Global Positioning System (GPS) integrated system for airborne …
Adaptive extended Kalman filtering strategies for spacecraft formation relative navigation
The relative navigation problem for spacecraft formation flying missions in near-Earth orbit is
addressed here through the design of two unique adaptive extended Kalman filter …
addressed here through the design of two unique adaptive extended Kalman filter …
Position estimation and smooth tracking with a fuzzy-logic-based adaptive strong tracking Kalman filter for capacitive touch panels
This paper presents a novel 7-in capacitive touch panel (CTP) system with a smooth tracking
algorithm that accurately estimates the position where the panel is touched and tracks the …
algorithm that accurately estimates the position where the panel is touched and tracks the …
Fuzzy adaptive Kalman filter for wind power output smoothing with battery energy storage system
X Li - IET Renewable Power Generation, 2012 - IET
The energy storage system (ESS) is the current, widely popular means of smoothing
intermittent wind power (WP) generation to regulate output power uncertainty in a wind …
intermittent wind power (WP) generation to regulate output power uncertainty in a wind …
Multi-sensor fusion for underwater robot self-localization using PC/BC-DIM neural network
Purpose Self-localization of an underwater robot using global positioning sensor and other
radio positioning systems is not possible, as an alternative onboard sensor-based self …
radio positioning systems is not possible, as an alternative onboard sensor-based self …
Improved vehicle positioning algorithm using enhanced innovation-based adaptive Kalman filter
Accurate positioning is a key factor for enabling innovative applications to properly perform
their tasks in various areas including: Intelligent Transportation Systems (ITS) and Vehicular …
their tasks in various areas including: Intelligent Transportation Systems (ITS) and Vehicular …
Knowledge acquisition in fuzzy-rule-based systems with particle-swarm optimization
Knowledge acquisition is a long-standing problem in fuzzy-rule-based systems. In spite of
the existence of several approaches, much effort is still required to increase the efficiency of …
the existence of several approaches, much effort is still required to increase the efficiency of …
Robust medical image segmentation using particle swarm optimization aided level set based global fitting energy active contour approach
The active contour models have been popularly employed for image segmentation for
almost a decade now. Among these active contour models, the level set based Chan and …
almost a decade now. Among these active contour models, the level set based Chan and …
Robot tracking in SLAM with Masreliez-Martin unscented Kalman filter
M Tang, Z Chen, F Yin - International Journal of Control, Automation and …, 2020 - Springer
The simultaneous localization and map** (SLAM) is a significant topic in intelligent robot.
In this paper, a robot tracking algorithm in SLAM with Masreliez-Martin unscented Kalman …
In this paper, a robot tracking algorithm in SLAM with Masreliez-Martin unscented Kalman …
Square-root unscented Kalman filtering-based localization and tracking in the Internet of Things
Abstract The Internet of Things (IoT), which is usually established over architectures of
wireless sensor networks, provides an actual platform for various applications of personal …
wireless sensor networks, provides an actual platform for various applications of personal …