王玉刚｜山东交通学院｜学者主页

2025

Predictive modeling of vehicle interaction patterns considering drivers intentions under different intelligent connected environments

Zijun Du, Liu Yang, Nengchao Lyu, Yugang Wang

Expert Systems With Applications，Vol. 293

DOI

2025

基于RSG-YOLOv10n道路场景抗干扰与小目标检测方法

孔飞一，付振山，王玉刚，付聪，戴先鑫，马栋

《山东交通学院学报》

2025

Chaos-Based Inertia Weight Particle Swarm Optimization for Path Planning of Unmanned Surface Vehicles

Gongxiang Cui, Jie Song, Ying Han, Haifang Wu, Feng Zhou, Yugang Wang

Journal of Marine Science and Application

DOI

2024

Modeling risk potential fields for mandatory lane changes in intelligent connected vehicle environment

Yugang Wang, Nengchao Lyu, Jianghui Wen

Expert Systems With Applications，Vol. 255

DOI

2024

Investigating the impact of HMI on drivers' merging performance in intelligent connected vehicle environment

Yugang Wang, Nengchao Lyu, Chaozhong Wu, Zijun Du, Min Deng, Haoran Wu

Accident Analysis And Prevention，Vol. 198

DOI

2024

A New Convergence Analysis Method for Conformable Fractional Order System with Time Delay

Ying Han, Huaizhou Liang, Yugang Wang, Fengyu Zhou

Cyber ..

DOI

2023

Event-triggered adaptive finite time trajectory tracking control for Underactuated Vessel considering unknown time-varying disturbances

Qiwen Wang, Qiang Zhang, Yugang Wang, Yancai Hu, Shaoyi Guo

Transportation Safety and Environment

DOI

2022

Iterative learning control for conformable fractional order system with time delay

Yugang Wang, Ming-Wen Yao, Cong Sun, Feng-Yu Zhou

Cyber ..

DOI

2021

Iterative Learning Control for Fractional Order Linear Systems with Time Delay Based on Frequency Analysis

Yugang Wang, Feng-Yu Zhou, Lei Yin, Fang Wan

International Journal of Control, Automation and Systems

DOI

2021

Iterative learning control for fractional order nonlinear system with initial shift

Fengyu Zhou, Yugang Wang

Nonlinear dynamics

DOI

2020

Iterative learning control for path tracking of service robot in perspective dynamic system with uncertainties

Yugang Wang, Fengyu Zhou, Zhao Yang, Ming Li, Yin Lei

International Journal of Advanced Robotic Systems

DOI

2019

基于电势场法的移动机器人全局路径规划算法

万方，周风余，尹磊，王玉刚，陈科，沈冬冬

《机器人》

DOI

2017

Path-Tracking of service robot with iterative learning control in perspective dynamic system

Yugang Wang, Feng-Yu Zhou, Ming Li, Yang Zhao

ACM Cloud and Autonomic Computing Conference

DOI

2017

A novel iterative learning path-tracking control for nonholonomic mobile robots against initial shifts

Yang Zhao, Feng-Yu Zhou, Yan Li, Yugang Wang

DOI

2017

Fractional-order iterative learning control with initial state learning design

Yang Zhao, Feng-Yu Zhou, Yugang Wang, Yan Li

Nonlinear dynamics

DOI

王玉刚

精选作品

期刊论文

Predictive modeling of vehicle interaction patterns considering drivers intentions under different intelligent connected environments

基于RSG-YOLOv10n道路场景抗干扰与小目标检测方法

Chaos-Based Inertia Weight Particle Swarm Optimization for Path Planning of Unmanned Surface Vehicles

Modeling risk potential fields for mandatory lane changes in intelligent connected vehicle environment

Investigating the impact of HMI on drivers' merging performance in intelligent connected vehicle environment

A New Convergence Analysis Method for Conformable Fractional Order System with Time Delay

Event-triggered adaptive finite time trajectory tracking control for Underactuated Vessel considering unknown time-varying disturbances

Iterative learning control for conformable fractional order system with time delay

Iterative Learning Control for Fractional Order Linear Systems with Time Delay Based on Frequency Analysis

Iterative learning control for fractional order nonlinear system with initial shift

Iterative learning control for path tracking of service robot in perspective dynamic system with uncertainties

基于电势场法的移动机器人全局路径规划算法

Path-Tracking of service robot with iterative learning control in perspective dynamic system

A novel iterative learning path-tracking control for nonholonomic mobile robots against initial shifts

Fractional-order iterative learning control with initial state learning design

研究方向