Personal information

Activities

Employment (1)

Nanjing University of Science and Technology Taizhou Institute of Sci. &Tech.: Taizhou, Jiangsu, CN

2006-07-01 to present | Associate Professor (Taizhou Institute of Science and Technology)
Employment
Source: Self-asserted source
Wang Ronglin

Education and qualifications (3)

Nanjing University of Science and Technology: Nanjing, Jiangsu, CN

2016-08-28 to 2021-01-20 | Ph.D. Degree (School of Mechanical Engineering)
Education
Source: Self-asserted source
Wang Ronglin

Nanjing University of Science and Technology: Nanjing, Jiangsu, CN

2004-08-31 to 2006-06-30 | M.S. Degree (School of Mechanical Engineering)
Education
Source: Self-asserted source
Wang Ronglin

Jiangsu University: Zhenjiang, Jiangsu, CN

1998-09-01 to 2002-06-30 | B.S. degree (School of Mechanical Engineering)
Education
Source: Self-asserted source
Wang Ronglin

Funding (2)

某舰载火箭炮位置伺服系统辨识与控制策略研究

2019-04 to 2020-06 | Grant
江苏省教育厅 (Nanjing, CN)
GRANT_NUMBER:

KYCX19-0269

Source: Self-asserted source
Wang Ronglin

基于重型非平衡身管的同源平衡和快速跟踪控制方法研究

2019-01 to 2021-12 | Grant
National Natural Science Foundation of China (Beijing, CN)
GRANT_NUMBER:

51805264

Source: Self-asserted source
Wang Ronglin

Works (5)

Certain SPMSM servo system passive control using IPSO fuzzy active disturbance rejection technique

The 38th Chinese Control Conference
2019-08-30 | Conference paper
Source: Self-asserted source
Wang Ronglin

FOPID Improved ADRC in AC Servo Systems

China Mechanical Engineering
2019-07-15 | Journal article
Source: Self-asserted source
Wang Ronglin

Passivity-Based Control for Rocket Launcher Position Servo System Based on ADRC Optimized by IPSO-BP Algorithm

Shock and Vibration
2018-06 | Journal article
Source: Self-asserted source
Wang Ronglin

Passivity-Based Control for Rocket Launcher Position Servo System based on Improved Active Disturbance Rejection Technology

Advances in Mechanical Engineering
2018-05 | Journal article
Source: Self-asserted source
Wang Ronglin

Integral Separation PID Control of Certain Electro-hydraulic Servo System based on RBF Neural Network Supervision

2017-11 | Conference paper
Source: Self-asserted source
Wang Ronglin