E-LIB Suche - Ergebnisse für: Li, Zhongcan

1

A Semilinearized Approach for Dynamic Identification of Man..:

Zhou, Yufei ; Li, Zhongcan ; Zhang, Xianke..
IEEE Transactions on Instrumentation and Measurement. 73 (2024) - p. 1-20 , 2024

Link: https://doi.org/10.1109/..

2

Adaptive Fuzzy Integral Sliding Mode Cooperative Control Ba..:

Li, Zhongcan ; Zhou, Yufei ; Zhu, Mingchao.
Sensors. 24 (2024) 12 - p. 3718 , 2024

Link: https://doi.org/10.3390/..

3

Image moment-based visual positioning and robust tracking c..:

Li, Zhongcan ; Zhou, Yufei ; Zhu, Mingchao..
Journal of Intelligent & Robotic Systems. 110 (2024) 2 - p. , 2024

Link: https://doi.org/10.1007/..

4

Railway network delay evolution: A heterogeneous graph neur..:

Li, Zhongcan ; Huang, Ping ; Wen, Chao...
Applied Soft Computing. 159 (2024) - p. 111640 , 2024

Link: https://doi.org/10.1016/..

5

A Novel Hyper-Redundant Manipulator Dynamic Identification ..:

, In: Intelligent Robotics and Applications; Lecture Notes in Computer Science,

Zhou, Yufei ; Li, Zhongcan ; Feng, Angang.. - p. 80-91 , 2023

Link: https://doi.org/10.1007/..

6

Prediction of departure delays at original stations using d..:

Li, Zhongcan ; Huang, Ping ; Wen, Chao..
Expert Systems with Applications. 229 (2023) - p. 120500 , 2023

Link: https://doi.org/10.1016/..

7

Train traffic control in merging stations: A data-driven ap..:

Huang, Ping ; Li, Zhongcan ; Zhu, Yongqiu..
Transportation Research Part C: Emerging Technologies. 152 (2023) - p. 104155 , 2023

Link: https://doi.org/10.1016/..

8

Neural network-based variable stiffness impedance control f..:

Zhou, Yufei ; Li, Zhongcan ; Li, Yanhui.
Control Engineering Practice. 141 (2023) - p. 105714 , 2023

Link: https://doi.org/10.1016/..

9

Interval Type-2 Fuzzy PID Controller Using Disassembled Gra..:

Chu, Yongzhi ; Han, Hasiaoqier ; Ma, Tianjiao...
Sensors. 23 (2023) 22 - p. 9067 , 2023

Link: https://doi.org/10.3390/..

10

Train operation conflict detection for high-speed railways:..:

Li, Jie ; Li, Zhongcan ; Wen, Chao..
International Journal of Rail Transportation. 11 (2022) 2 - p. 188-206 , 2022

Link: https://doi.org/10.1080/..

11

Prediction of train arrival delays considering route confli..:

Li, Zhongcan ; Huang, Ping ; Wen, Chao..
Transportation Research Part C: Emerging Technologies. 138 (2022) - p. 103606 , 2022

Link: https://doi.org/10.1016/..

12

Adaptive Force Tracking Control of Manipulator in Uncalibra..:

, In: 2022 International Conference on Service Robotics (ICoSR),

Zhou, Yufei ; Li, Zhongcan ; He, Shunfeng.. - p. 218-223 , 2022

Link: https://doi.org/10.1109/..

13

Prediction of high-speed train delay propagation based on c..:

Liu, Qianyi ; Wang, Shengjie ; Li, Zhongcan...
Railway Engineering Science. 31 (2022) 1 - p. 89-106 , 2022

Link: https://doi.org/10.1007/..

14

Modeling train timetables as images: A cost-sensitive deep ..:

Huang, Ping ; Li, Zhongcan ; Wen, Chao...
Expert Systems with Applications. 177 (2021) - p. 114996 , 2021

Link: https://doi.org/10.1016/..

15

Predictive models for influence of primary delays using hig..:

Li, Zhongcan ; Huang, Ping ; Wen, Chao..
Journal of Forecasting. 39 (2020) 8 - p. 1198-1212 , 2020

Link: https://doi.org/10.1002/..