Results 111 to 120 of about 3,341 (138)

Segmented Estimation of Road Adhesion Coefficient Based on Multimodal Vehicle Dynamics Fusion in a Large Steering Angle Range. [PDF]

Sensors (Basel)
Jiang H, Shen T, Tang B, Yang K.
europepmc   +1 more source

Optimal deep neural network based road traffic management system for Internet of Things based smart city environment. [PDF]

Sci Rep
Almejalli KA.
europepmc   +1 more source

A method of strong tracking UKF based on adaptive constraints

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2019
As for the difficulty of detecting fault in the non-linear system, the theorem to achieve new UKF condition 2 is deducted. Based on adaptive strong tracking UKF, a fault detect method is proposed. Fast solution which has the limitation on adaptive time-varying is designed to improve the speed of solving the time-varying fading matrix.
Hao Yan, Fawei Wang
openaire   +3 more sources

An Adaptive RK-UKF Projectile Impact Point Prediction Method Based on Strong Tracking Filter

2020 9th Asia-Pacific Conference on Antennas and Propagation (APCAP), 2020
This paper proposes an adaptive RK-UKF projectile impact point prediction (IPP) method based on strong tracking filter. This method processes the trajectory model by unscented Kalman filter (UKF) to avoid linearization error, and by Runge- Kutta integral to avoid discretization error, then combines the strong tracking filter to adaptively adjust the ...
Wanyu Jiang, Zhan Wang, Shuangxun Li
openaire   +3 more sources

Effective fault diagnosis based on strong tracking UKF

Aircraft Engineering and Aerospace Technology, 2011
PurposeThe purpose of this paper is to address the flaws of traditional methods and fulfil the special fault‐tolerant re‐entry navigation requirements of reusable boost vehicle (RBV).Design/methodology/approachA kind of improved estimation method based on strong tracking unscented Kalman filter (STUKF) is put forward.
Pengxin Han, Rongjun Mu, Naigang Cui
openaire   +3 more sources

The Application of the Fuzzy Strong Tracking UKF in the SINS Swing Base Initial Alignment

2014 Sixth International Conference on Intelligent Human-Machine Systems and Cybernetics, 2014
In the SINS swing base initial alignment process, the filtering model is nonlinear error model because of the large azimuth misalignment angle. The alignment adaptivity can be improved efficiently with the combination of strong tracking theory and UKF.
Shujie Wu, Bo Wang, Zhiqiang Zhou, Hailuo Wang, Lu Song   +4 more
openaire   +3 more sources

An improved feed-forward neural network based on UKF and strong tracking filtering to establish energy consumption model for aluminum electrolysis process

Neural Computing and Applications, 2018
The paper presents a modeling method about the energy consumption of aluminum electrolysis process based on a new neural network. The proposed neural network (NN) is built by combining two theories of unscented Kalman filtering (UKF) and strong tracking filtering (STF), which is shortened as STUKFNN in this study.
Lizhong Yao, Taifu Li, Yanyan Li, Wei Long, Jun Yi   +4 more
openaire   +3 more sources

Improvement of Strong Tracking UKF-SLAM Approach using Three-position Ultrasonic Detection

Robotics and Autonomous Systems, 2023
Shuai Yuan, Jian Wu, Fangjun Luan, Lili Zhang, Jiaqi Lv   +4 more
openaire   +3 more sources

Strong Tracking UKF-Based Hybrid Algorithm and Its Application to Initial Alignment of Rotating SINS With Large Misalignment Angles

IEEE Transactions on Industrial Electronics, 2023
Jianguo Liu, Xiyuan Chen, Junwei Wang
openaire   +3 more sources

An Adaptive SLAM Algorithm Based on Strong Tracking UKF

ROBOT, 2010
Wenling ZHANG, Mingqing ZHU, Zonghai CHEN   +2 more
openaire   +3 more sources