Junzheng Wang

Calculated based on number of publications stored in Pure and citations from Scopus
19992024

Research activity per year

Personal profile

Personal profile

Name: Wang Junzheng Gender: Male Date of birth: 1964.5
Title: Professor Position: Executive Vice Dean of Graduate School Highest education: Doctor
Discipline: Control Science and Engineering
Talent Program: State Council Special allowance Office Location: 6# Annex Building
E-mail: wangjz@bit.edu.cn Contact: 68912465
Address: School of Automation, North Institute of Beijing Institute of Technology, Haidian District, Beijing
Type of Supervisor: Doctoral Supervisor

Research Interests

"
Research direction 1. Servo motion drive and control Research on motor, electro-hydraulic servo drive technology and advanced control theory methods, conduct in-depth research on mathematical modeling, simulation analysis, and optimization control of servo motion systems under complex load conditions, and achieve high-precision, high-frequency response, and high-performance control of motion systems< br> 2. Robot control
Research on robot configuration, driving technology, intelligent perception and path planning, and autonomous control methods. Innovatively propose an electric wheeled legged robot (Beili Nezha) based on a parallel six degree of freedom mechanism, a four wheel independent driving independent unmanned vehicle (Beili Youlong), and a hydraulic driven quadruped robot, and carry out innovative research, including robot kinematics and dynamics modeling analysis and optimization design, compliance control, gait planning, stable walking during legged motion, active and passive vibration reduction and multi wheel collaborative control during wheeled motion, as well as multi-source sensor environment perception and obstacle detection based on LiDAR, millimeter wave radar, visible light CCD, infrared camera, integrating satellite positioning and navigation with local path planning algorithms for robots, achieving fully autonomous motion control of robots< br> 3. Load simulation and static and dynamic tests
Research simulation loading, motion characteristics, and testing methods for the load and motion laws of motion driving components or complex equipment during the development process, to achieve complex load conditions, full life cycle, static and dynamic performance testing and fault analysis of the tested system< br>
"

Education

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1981.9-1985.7 Bachelor's degree in Precision Machinery Manufacturing and Technology, Department of Precision Machinery, Xi'an Institute of Technology Master's degree in Monitoring and Testing in the Department of Mechanical Engineering, Beijing Institute of Technology from September 1987 to April 1990 From September 1990 to July 1997, I obtained a PhD in servo control research from the Department of Automatic Control at Beijing Institute of Technology "

Professional Experience

"From July 1987 to July 1987, I served as a teaching assistant in the Department of Precision Machinery at Xi'an Institute of Technology." 1994.5-1997.6 Lecturer at the Department of Automatic Control, Beijing Institute of Technology Associate Professor of the Department of Automatic Control at Beijing Institute of Technology from July 1997 to June 2002 From July 2002 to present, Professor at the Department of Automatic Control, Beijing Institute of Technology September 2001 to June 2002, Deputy Director (Deputy Director) of the Department of Automatic Control at Beijing Institute of Technology From November 2002 to May 2006, the Chairman (Deputy Director) of the Trade Union at the School of Information Science and Technology, Beijing Institute of Technology From June 2006 to November 2008, Executive Vice Dean (Director) of the School of Information Science and Technology, Beijing Institute of Technology 2008.12-2016.5 Secretary of the Party Committee of the School of Automation, Beijing Institute of Technology 2013.10-2016.5 Dean of the School of Automation, Beijing Institute of Technology From 2016 to present, Executive Vice Dean of the Graduate School of Beijing Institute of Technology
"

Research Achievement

1. Li Jiehao(博士生), Wang Junzheng, Peng Hui. Fuzzy-torque approximation enhanced sliding mode control for lateral stability of mobile robot[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-10, 2021, doi: 10.1109/TSMC.2021.3050616. (SCI检索,IF: 13.451)
2. Li Jiehao(博士生), Wang Junzheng, Wang Shoukun. Human-robot skill transmission for mobile robot via learning by demonstration[J]. Neural Computing and Applications, 1-17, 2021, (SCI检索,IF: 5.606)
3. Peng Hui(博士生), Wang Junzheng, Wang Shoukun, Shen Wei, Shi Dawei, Liu Dongchen. Coordinated Motion Control for a Wheel-Leg Robot With Speed Consensus Strategy[J]. IEEE/ASME Transactions on Mechatronics, June 2020, 25(3): 1366-1376. (SCI检索, IF: 5.303)
4. Liu Dongchen(博士生), Wang Junzheng, Wang Shoukun, Shi Dawei. Active disturbance rejection control for electric cylinders with PD-type event-triggering condition[J]. Control Engineering Practice, July 2020, 100: 104448. (SCI检索,IF: 3.475)
5. Li Jiehao(博士生), Wang Junzheng, Peng Hui. Neural fuzzy approximation enhanced autonomous tracking control of the wheel-legged robot under uncertain physical interaction[J]. Neurocomputing. 2020, 410: 342-353. (SCI检索,IF: 5.719)
6. Yuan Huang(博士生), Junzheng Wang, Dawei Shi, Junfeng Wu, Ling Shi. Event-Triggered Sampled-Data Control: An Active Disturbance Rejection Approach[J]. IEEE/ASME Transactions on Mechatronics.2019, 24(5): 2052-2063 (SCI 检索,IF:4.943)
7. Yan Min(博士生), Wang Junzheng, Li Jing, Zhang Ke, Yang Zimu. Traffic scene semantic segmentation using self-attention mechanism and bi-directional GRU to correlate context[J]. Neurocomputing, April 2019, 386:293-304. (SCI检索,IF: 5.719)
8. Huang Yuan (博士生), Wang Junzheng, Shi Dawei, Shi Ling. Performance Assessment of Discrete-Time Extended State Observers: Theoretical and Experimental Results[J]. IEEE Transactions on Circuits and Systems–I: Regular Papers, 2018, 65(7): 2256-2268.(SCI检索,IF:2.823)
9. Huang Yuan (博士生), Wang Junzheng, Shi Dawei, Shi Ling. Toward Event-Triggered Extended State Observer[J]. IEEE Transactions on Automatic Control, 2018, 63(6): 1842-1849.(SCI检索,IF:5.007)
10. Peng Hui(博士生), Wang Junzheng, Shen Wei, Shi Dawei, Huang Yuan. Compound control for energy management of the hybrid ultracapacitor-battery electric drive systems[J]. Energy. 2019. 175:309-319. (SCI 检索,IF:4.968)
11. Peng Hui(博士生). Wang Junzheng. Shen Wei. Shi Dawei. Huang Yuan. Controllable regenerative braking process for hybrid battery–ultracapacitor electric drive systems[J]. IET Power Electronics. 2018. 11(15):2507-2517. (SCI 检索,IF:2.267)
12. Chen Guangrong(博士生), Wang Junzheng, Wang Shoukun. Compliance control for a hydraulic bouncing system[J]. ISA TRANSACTIONS. 2018, 79: 232-238.(SCI检索,IF:3.370)
13. Chen Guangrong(博士生), Wang Junzheng, Wang Shoukun. Indirect adaptive robust dynamic surface control in separate meter-in and separate meter-out control system[J].NONLINEAR DYNAMICS. 2017, 90(2): 951-970.(SCI检索,IF:3.464)
14. Hao Renjian(博士生), Wang Junzheng, Zhao Jiangbo. Observer-Based Robust Control of 6-DOF Parallel Electrical Manipulator with Fast Friction Estimation[J]. IEEE Transactions on Automation Science and Engineering, 2016, 13(3): 1399-1408.(SCI检索,IF:3.502)
15. Guangtao Cui(硕士生), Junzheng Wang, Jing Li. Robust multilane detection and tracking in urban scenarios based on LIDAR and mono-vision[J]. IET image processing. 2014, 8(5): 269-279. (SCI检索,IF:1.044)
16. 郑怀航(博士生),王军政,刘冬琛,汪首坤. 融合前馈与姿态预测的并联稳定平台自抗扰控制策略[J]. 机械工程学报,2021,57(9):19-27.
17. 刘冬琛(博士生),王军政,汪首坤,沈伟,彭辉. 一种基于并联 6 自由度结构的电动轮足机器人[J].机器人, 2019,41(1), 65-74,82.
18. 陈光荣(博士生),王军政,汪首坤,赵江波,沈伟,李静. 自适应鲁棒控制器设计新方法在电液伺服系统中的应用[J].自动化学报, 2016, 42(3),375-384.
19. 王军政, 赵江波,汪首坤. 电液伺服技术的发展与展望[J]. 液压与气动. 2014, 5: 1-12.(2016年获《液压与气动》第一届优秀论文一等奖)
20.柯贤锋(硕士生),王军政,何玉东,汪首坤,赵江波. 基于力反馈的液压足式机器人主/被动柔顺性控制[J].机械工程学报.2017(1):13-20.( 2019年获《机械工程学报》优秀论文)

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy
  • SDG 8 - Decent Work and Economic Growth

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