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.