Liu Yu
 
time: 2022-02-28

Yu Liu

Professor

School of Automation Science and Engineering,

South China University of Technology,

Guangzhou 510640, China,

E-mail: auylau@scut.edu.cn

Office address: Room 416, 3 Building, No.381 Wushan Road, Tianhe District, Guangzhou, Guangdong Province

 

Education Background

• 9/2006-11/2009, Joint Ph.D. in Control Theory and Control Engineering, Concordia University, Montreal, Canada, 11/2008-11/2009, and South China University of Technology, Guangzhou, China, 9/2006-10/2008.

• 9/2004-7/2006, M.Eng. in Control Theory and Control Engineering, South China University of Technology, Guangzhou, China.

• 9/1995-7/1998, B.Eng. in Mechanical Manufacture Technique and Instrument, Henan University of Technology, Zhengzhou, China.

Working Experiences

• 9/2019-Present, Administrator,Department of Information Sciences, National Natural Science Foundation of China (NSFC).

• 9/2018-Present, Professor,School of Automation Science and Engineering, South China University of Technology.

• 3/2017-3/2018, Visiting Scholar,Department of Electrical and Computer Engineering, University of Nebraska-Lincoln.

• 9/2013-8/2018, Associate Professor, School of Automation Science and Engineering, South China University of Technology.

• 3/2013-2/2014, Administrator, Industry-University-Research Collaboration Office, Department of Science and Technology of Guangdong Province (DSTGP).

• 4/2010-8/2013, Research Associate, School of Automation Science and Engineering, South China University of Technology.

• 8/1998-8/2004, Engineer, General (Dongguan) Electric Appliance Manufacture Co., Ltd., Dongguan, China.

Research Interests

• Distributed parameter system, Robot control, Intelligent Control, Coordinated control.

• Pattern recognition, Visual inspection, Deep learning, Reinforcement learning.

• Unmanned system, Adaptive dynamic programming, Intelligent perception and decision making

 

Honors and Awards

Chief Scientist of National Key R&D Program of China.

Chief Scientist of Key R&D of Guangdong Province.

Director of Xijiang Innovation Team of Zhaoqing City.

First Prize of Science and Technology Progress Award, China Automation Society, 2021, Rank First Among Award Winners.

Second Prize of Natural Science Award, Guangdong Province, 2020, Rank First Among Award Winners.

Best Conference Paper Award, 2021 ICARM, Rank First Among Award Winners.

Best Control Paper Award, 2021 ICRCR, Rank First Among Award Winners.

Best Student Paper Award, 36th YAC, Rank Second Among Award Winners.

Selected Research Projects, (Over 30 Projects)

[1]    PI, National Key R&D Program of China, “R&D of Key Technologies and Application of Vehicle Specification Level Solid-State Lidar for Automatic Driving”, No.2021YFB3202200, 12/2021-11/2024.

[2]    PI, Key R&D of Guangdong Province, “R&D and Industrialization of Key General Technologies of Intelligent Industrial Visual Inspection Based on Human-Machine Cooperation”, No. 2021B2053802004, 7/2021-6/2024.

[3]    PI, The Fourth Batch of Xijiang Innovation Team of Zhaoqing City, “Machine Vision-based Intelligent Detection Innovation Team in Beverage Metal Packaging and Mobile Phone Cover Industry”, 1/2021-12/2023.

[4]    PI, Basic and Applied Basic Research Foundation of Guangdong Province, “Research on Robot Task Learning and Control Method for Human Machine Cooperation”, No.2020B1515120071, 10/2020-09/2023.

[5]    PI, International S&T Cooperation Program of Guangdong Province, “Research on Active Vibration Suppression of Axial Drive Structure and Its Application”, No.2019A050510015, 1/2020-12/2021.

[6]    PI, The Sub-Subject of 863 Plane of China, “Research on **************”, No.******, 1/2016-12/2019.

[7]    PI, Major S&T Programs of Guangdong Province, “R&D and Industrialization of High Performance Precision Servo Motor and Drive Components for Industrial Robots”, No.2017B090910006, 1/2017-12/2019.

[8]    PI, Major S&T Programs of Guangdong Province, “Key Technology Research and Industrialization of Multi DOF High Speed and High Precision Intelligent Stamping Robot”, No. 2016B090927010, 1/2016-12/2019.

[9]    PI, Major S&T Programs of Guangdong Province, “Key Technology Research and Application Demonstration of Robot Automatic Assembly Line for Ultra Precision Micromotor Manufacturing”, No.2016B090912003, 1/2016-12/2018.

[10]PI, Major S&T Programs of Guangdong Province, “Key Technology Research and Industrialization of Automatic High Speed and High Precision Flexible Circuit Board Reinforcing and Laminating PI, Intelligent Equipment”, No.2016B010126001, 1/2016-12/2019.

Selected Granted Patents (Over 20 Patents)

[1]    Patent No. ZL201410843219.8, Patent Right Transferred (¥1,600,000).

[2]    Patent No. ZL201710983538.2, Patent Right Transferred (¥1,800,000)

[3]    Patent No. ZL201910670487.7.

[4]    Patent No. ZL201910739542.3.

[5]    Patent No. ZL201910670494.7.

[6]    Patent No. ZL201910666898.9.

[7]    Patent No. ZL201910821648.8.

[8]    Patent No. ZL202010191567.7.

[9]    Patent No. PCT/CN2021/080356.

[10]Patent No. PCT/CN2021/080007.

Selected Publications

Journal Papers (Over 50 Papers)

[1]    Y. Liu, X. Wu, X. Yao, and J. Zhao, “Backstepping Technology Based Adaptive Boundary ILC for an Input-Output-Constrained Flexible Beam,” IEEE Trans. Neural Netw. Learn. Syst., to appear

[2]    Y. Liu, H. Xiao, J. Xu, and J. Zhao, “A Rail Surface Defect Detection Method Based on Pyramid Feature and Lightweight Convolutional Neural Network,” IEEE Trans. Instrum. Meas., to appear

[3]    Y. Liu, Y. Wang, Y. Mei and Y. Wu, “Boundary Iterative Learning Control of a Flexible Riser With Input Saturation and Output Constraint,” IEEE Trans. Syst., Man, Cybern., Syst., doi: 10.1109/ TSMC.2022.3149283, 2022.

[4]    Y. Liu, F. Liu, Y. Mei, and W. Wan, “Adaptive Neural Network Vibration Control for an Output-Tension-Constrained Axially Moving Belt System With Input Nonlinearity,” IEEE/ASME Trans. Mechatron., doi: 10.1109/TMECH.2021.3126686, 2021.

[5]    Y. Mei, Y. Liu*, H. Wang, and H. Cai, “Adaptive Deformation Control of a Flexible Variable- Length Rotary Crane Arm with Asymmetric Input-Output Constraints,” IEEE Trans. Cybern., doi: 10.1109/TCYB.2021.3112706, 2021

[6]    Y. Liu, J. Xu, and Y. Wu, “A CISG Method for Internal Defect Detection of Solar Cells in Different Production Processes,” IEEE Trans. Ind. Electron., doi: 10.1109/TIE.2021.3104584, 2021.

[7]    Y. Mei, Y. Liu*, and H. Wang, “Adaptive Neural Network Output Constraint Control for a Variable-Length Rotary Arm With Input Backlash Nonlinearity,” IEEE Trans. Neural Netw. Learn. Syst., doi: 10.1109/TNNLS. 2021.3117251, 2021.

[8]    Y. Liu, Y. Wang, Y. Feng, and Y. Wu, “Neural Network Based Adaptive Boundary Control of a Flexible Riser With Input Deadzone and Output Constraint,” IEEE Trans. Cybern., doi: 10.1109/ TCYB.2021.3102160, 2021.

[9]    X. Yao, Y. Liu*, Z. Zhang, and W. Wan, “Synchronization Rather Than Finite-Time Synchronization Results of Fractional-Order Multi-Weighted Complex Networks,” IEEE Trans. Neural Netw. Learn. Syst., doi: 10.1109/TNNLS.2021.3083886, 2021.

[10]Y. Liu, X. Chen, Y. Wu, H. Cai, and H. Yokoi, “Adaptive Neural Network Control of a Flexible Spacecraft Subject to Input Nonlinearity and Asymmetric Output Constraint,” IEEE Trans. Neural Netw. Learn. Syst., doi: 10.1109/TNNLS.2021.3072907, 2021.

[11]Y. Liu, Y. Mei, H. Cai, and et al, “Asymmetric Input-Output Constraint Control of a Flexible Variable- Length Rotary Crane Arm,” IEEE Trans. Cybern., doi: 10.1109/TCYB.2021.3055151, 2021.

[12]Y. Luo, X. Deng, J. Wu, Yu Liu*, and et al, “A New Finite-Time Circadian Rhythms Learning Network for Solving Nonlinear and Nonconvex Optimization Problems with Periodic Noises,” IEEE Trans. Cybern., doi: 10.1109/TCYB.2021.3071764, 2021.

[13]Y. Liu, W. Zhan, M. Xing,and et al, “Boundary Control of a Rotating and Length-Varying Flexible Robotic Manipulator,” IEEE Trans. Syst., Man, Cybern., Syst., vol. 52, no. 1, pp. 377-386, 2022.

[14]J. Xu, Y. Liu*, and Y. Wu, “Automatic Defect Inspection for Monocrystalline Solar Cell Interior by Electroluminescence Image Self-Comparison Method,” IEEE Trans. Instrum. Meas., vol. 70, Art no. 5016011, 2021.

[15]Y. Liu, Y. Wu, and W. Pan, “Dynamic RGB-D SLAM Based on Static Probability and Observation Number,” IEEE Trans. Instrum. Meas., vol. 70, Art no. 8503411, 2021.

[16]Y. Liu, X. Chen, Y. Mei, and Y. Wu. Observer-Based Boundary Control for an Asymmetric Output-Constrained Flexible Robotic Manipulator,” Sci. China Inf. Sci., vol. 65, no. 3, Art no. 139203, 2022.

[17]J. Xu, Y. Liu*, H. Xie, and F. Luo, “Surface Quality Assurance Method For Lithium-Ion Battery Electrode Using Concentration Compensation and Partiality Decision Rules,” IEEE Trans. Instrum. Meas., vol. 69, no. 6, pp. 3157-3169, 2020.

[18]Y. Liu, F. Guo, X. He, and Q. Hui, “Boundary Control for An Axially Moving System With Input Restriction Based on Disturbance Observers,” IEEE Trans. Syst., Man, Cybern., Syst., vol. 49, no. 11, pp. 2242-2253, 2019.

[19]Y. Liu, Y. Fu, W. He, and Q. Hui, “Modeling and Observer-Based Vibration Control of a Flexible Spacecraft With External Disturbances,” IEEE Trans. Ind. Electron., vol. 66, no. 11, pp. 8648-8658, 2019.

[20]Y. Liu, Z. Zhao, and W. He, “Boundary Control of An Axially Moving Accelerated/Decelerated Belt System,” Int. J. Robust Nonlin. Control, vol. 26, no. 17, pp. 3849-3866, 2016.

Conference Papers (Over 30 Papers)

[1]    S. Li, Y. Liu*, X. Chen, and et al, “Adaptive Neural Network Output Constraint Control for a Flexible Spacecraft System,” 36th Youth Academic Annual Conf. Chinese, Nanchang, Jiangxi, China, 2021, pp. 436-441. (Best Student Paper Award).

[2]    Y. Liu, X. Wu, Y. Mei, and Y. Wu, “Adaptive Vibration Iterative Learning Control of a Flexible Beam via Backstepping Technique,” IEEE Int. Conf. Real-time Comput. Robotics, Xining, Qinghai, China, 2021, pp. 153-158. (Best Control Paper Award).

[3]    Y. Liu, F. Liu, Y. Mei, Y. Wang, and Y. Wu, “Neural Network Vibration Control of a Flexible Riser With Output Constraint,” IEEE Int. Conf. Advanced Robotics Mech., Chongqing, China, 2021, pp. 43-48. (Best Conference Paper Award).

[4]    Y. Liu, X. Li, M. Lan, Y. He, and H. Cai, “Sheepdog Driven Algorithm for Sheep Herd Transport,” Chinese Control Conf., Shanghai, China, 2021, pp. 5390-5395.

[5]    W. Pan, Y. Liu*, and Y. Wu, “A Novel RGB-D SLAM for Recognizing Features on Static Objects,” Chinese Autom. Cong., Shanghai, China, 2020, pp. 7521-7526.

[6]    Y. Liu, Q. Zhang, F. Guo, Y. Wu, and et al.“Vibration Abatement Design for a Marine Riser System,” Chinese Autom. Cong., Xi'an, Shanxi, China, 2018, pp. 166-170.

[7]    Y. Liu, Z. Liu, and F. Guo, “Active Control of a Flexible Riser System With Input Saturation via Backstepping Technique,” Chinese Control Conf., Dalian, Liaoning, China, 2017, pp. 1579-1584.

[8]    F. Guo, Y. Liu*, Z. Zhao, W. He, and C. Yang, “Boundary Disturbance Rejection Control for An Axially Moving Nonuniform System,” Int. Conf. Advanced Robotics Mech., Hefei, Anhui, China, 2017, pp. 638-643.

[9]    Yu Liu, Zixuan Xia, Yilin Wu, Fang Guo, and Yun Fu. “Vibration Suppression of An Axially Moving System via Boundary Control and S-curve Ac/deceleration Methods,” Chinese Control Conf., Chengdu, Sichuan, China, 2016, pp. 1329-1333.

[10]Z. Zhao, Y. Liu*, and Y. Fu. “Vibration Control of An Axially Moving System by Using Backstepping Technique,” Int. Conf. Advanced Robotics Mech., Macau, China, 2016, pp. 409-413.