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Name: Qingguo Wang
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About Prof Qingguo Wang

Qing-Guo WANG was born in Suzhou, China. He received, respectively, B.Eng. in Chemical Engineering in 1982, M. Eng. in 1984 and Ph.D. (with highest honor) in 1987 both in Industrial Automation, all from Zhejiang University (ZU) of People’s Republic of China (PRC). From 1987 to 1989, he was a PRC Postdoctoral Fellow with Department of Mechanical Engineering/the Institute for Fluid Power Transmission and Control (A National Key Lab of PRC), ZU. In 1989, he joined Department of Chemical Engineering/Research Institute of Industrial Process Control (A National Key Lab of PRC), ZU, as an Associate Professor. He received the Young Scientist Award of the Chinese Association of Science and Technology in 1990, and He was named as an Outstanding China-conferred Ph.D by the State Education Committee of PRC in 1991. He held a Alexander-von-Humboldt Research Fellowship of Germany with Me -, Steuer- und Regelungstechnik, FB 7 — Maschinenbau, Universit t-GH-Duisburg from 1990 to 1991 and with Regelungs- und Systemtheorie, FB 16 — Elektrotechnik, GH Kassel Universit t from 1991 to 1992. From 1992 to 2015, he was with Department of Electrical and Computer Engineering of the National University of Singapore, where he became a Full Professor in 2004. He was a Distinguished Professor with Institute for Intelligent Systems, Faculty of Engineering and the Built Environment, University of Johannesburg, South Africa, 2015-2020. He holds A1-rating from the National Research Foundation of South Africa. He is a member of Academy of Science of South Africa. From 2020, he has been a Chair Professor with BNU-HKBU United International College, and a Professor with BNU-UIC Institute of Artificial Intelligence and Future Networks, Beijing Normal University (Zhuhai), China.

His research lies in the field of Automation/AI with focuses on modeling, estimation, prediction, control and optimization with a wide range of applications including, but not limited to, industrial and environmental processes, energy systems, defense systems, medical technology and financial engineering. He is an internationally renowned researcher in the areas of decoupling control, PID control, multivariable control; process identification, relay feedback systems, auto-tuning of control systems; time delay systems analysis and control. His works cover the cores of Industry 4.0. He has published 350+ technical papers in international journals with additional 13 in China journals. He authored or co-authored seven research monographs, respectively, “Finite Spectrum Assignment for Time Delay Systems”, 1999; “Advances in PID Control”, 1999; “Relay Feedback: Analysis, Identification and Control, 2003, “Decoupling Control”, 2003, and “LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay”, 2007, “PID Control for Multivariable Processes”, 2008, “Filtering and Control of Wireless Networked Systems”, 2017, all published by Springer-Verlag. He received nearly 20000 citations with h-index of 79. He was presented with the award of the most cited article of the journal “Automatica” in 2006-2010 and was in the Thomson Reuters list of the highly cited researchers 2013 in Engineering. He received the prize of the most influential paper of the 30 years of the journal “Control Theory and Applications” in 2014. He was on Stanford University list of World’s Top 2% Scientists (both career and year) each year. He was among SciVal – Top 500 authors in Africa from 2015 to 2020 by Scholarly Output. He was ranked by in 2023 within the top 500 scientists in the world and No 1 in South Africa in Electronics and Electrical Engineering.

In addition to his world-class academic research, he has rich practical development experience and successful technological transfers to industries. He worked (the majority of time physically) in a paper mill for 3 years during his Master and PhD studies and co-developed (with his supervisor/colleagues) the first-ever China paper machine computer control system in 1985. This invention was given a 2nd-class Technological Progress Award of the State Education Committee of PRC in 1990 and led to浙江双元科技开发有限公司, which has dominated the China market for decades. After he came to Singapore in 1992, he developed control systems for cleanrooms, furnace, crystallization, oil refinery and power systems. He has collaborated with major control giants such as Siemens for dynamic load dispatch of power plants, Yokogawa for multivariable decoupling control, Fisher-Rosemount/Emerson for PID controller auto-tuning, Honeywell for multivariable control, Aspen Technology for model predictive control, and DuPont for batch process optimal control, Vestas for disturbance modeling nd control of wind turbines, GE for critical condition monitoring and control of jet engines. He co-holds five patents in USA and Singapore, two of which have been licensed to USA. His total research funding exceeded $20m. His AI project was aired in CNN in Jan 2018. He has demonstrated his strong abilities in technology development and transfer to practical applications.

He taught courses in Engineering Mathematics, Electrical Engineering, Electronic Circuits, Signals and Systems, Computer Control, Linear Systems, Servo Systems, and Multivariable Control. He supervised two undergraduate projects, one on hand-on developmental work and another on business feasibility study. His final-year projects on financial engineering were most popular in his department and always sought after by students. He has supervised about 30 postdoctoral research fellows, more than 30 PhD students and about 30 Master students He got teaching awards almost every year. He is recognized as a passionate and effective teacher.

For his professional services, he is currently the deputy Editor-in-Chief of the ISA Transactions (USA), he was an Associate Editor of Journal of Process Control (an IFAC journal), Jan. 2002-Dec. 2004, and he is currently on editorial boards of several other journals. He was the chairman of IEEE Control Chapter – Singapore, 2000, 2001, 2012, 2013, the chair of steering committee of Asian Control Professor Association, 2001-2002. He was the general chair and program chair of the 4th Asian Control Conference, Singapore, September 25-27, 2002, the general chair of the fourth IEEE International Conference on Control and Automation, Montreal, Canada, June 10–12, 2003, and the general chair of tenth IEEE International Conference on Control and Automation, Hangzhou, China, June 12–14, 2013.

Representative Publications in the last three years

[1] Fu, Cheng; Wang, Qing-Guo; Yu, Jinpeng; Lin, Chong, “Neural Network-Based Finite-Time Command Filtering Control for Switched Nonlinear Systems with Backlash-like Hysteresis”, IEEE Transactions on Neural Networks and Learning Systems. Print ISSN: 2162-237X; Online ISSN: 2162-2388 Digital Object Identifier: 10.1109/TNNLS.2020.3009871
[2] Guozeng Cui, Jinpeng Yu and Qing-Guo Wang, “Finite-Time Adaptive Fuzzy Control for MIMO Nonlinear Systems with Input Saturation via Improved Command Filtered Backstepping”. IEEE Transactions on Systems, Man, and Cybernetics: Systems Print ISSN: 2168-2216 Online ISSN: 2168-2232 Digital Object Identifier: 10.1109/TSMC.2020.3010642
[3] Willem Esterhuizen and Qing-Guo Wang, “Control Design with Guaranteed Transient Performance: An Approach with Polyhedral Target Tubes”, Automatica, Volume 119, September 2020, Paper 109097.
[4] Wang Lei, and Qing-Guo Wang, “Polynomial Lyapunov Functions for Synchronization of Nonlinearly Coupled Complex Networks for publication”, IEEE Transactions on Cybernetics. Print ISSN: 2169-3536; Online ISSN: 2169-3536; Digital Object Identifier: 10.1109/ACCESS.2020.2996265
[5] Jinpeng Yu and Qing-Guo Wang, “Adaptive Finite-Time Containment Control of Uncertain Multiple Manipulator Systems”, IEEE Transactions on Cybernetics Print ISSN: 2168-2267 Online ISSN: 2168-2275 Digital Object Identifier: 10.1109/TCYB.2020.2981090.
[6] Jinpeng Yu and Qing-Guo Wang, “Finite-Time Tracking Control for Nonlinear Systems via Adaptive Neural Output Feedback and Command Filtered Backstepping,” IEEE Transactions on Neural Networks and Learning Systems Print ISSN: 2162-237X Online ISSN: 2162-2388 Digital Object Identifier: 10.1109/TNNLS.2020.2984773
[7] Wen-Juan Lin, Yong He, Chuan-Ke Zhang, Qing-Guo Wang, Min Wu, “Reachable Set Estimation for Discrete-Time Markovian Jump Neural Networks with Generally Incomplete Transition Probabilities”, IEEE Transactions on Cybernetics, Online, Print ISSN: 2168-2267, DOI: 10.1109/TCYB.2019.2931008.
[8] Chuan-Ke Zhang, Ke-You Xie, Yong He, Qing-Guo Wang and Min Wu, “An Improved Stability Criterion for Digital Filters with Generalized Overflow Arithmetic and Time-Varying Delay”, IEEE Transactions on Circuits and Systems II: Online, Print ISSN: 1549-7747, DOI: 10.1109/TCSII.2019.2950165.
[9] Chengcheng Zhao, Jianping He and Qing-Guo Wang, “Resilient Distributed Optimization Algorithm against Adversarial Attacks”, IEEE Transactions on Automatic Control, Online, Print ISSN: 0018-9286, DOI: 10.1109/TAC.2019.2954363.
[10] Lei Wang, Quanyi Liang, Zhikun She, Jinhu Lv and Qing-Guo Wang, “A Decomposition Approach for Synchronization of Heterogeneous Complex Networks”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Online, Print ISSN: 2168-2216,DOI: 10.1109/TSMC.2018.2883649.
[11] Jie Hou, Tao Liu and Qing-Guo Wang, “Subspace identification of Hammerstein-type nonlinear systems subject to unknown periodic or harmonic disturbances”, International Journal of Control, Online, Print ISSN: 0020-7179, DOI: 10.1080/00207179.2019.1621385.
[12] Adeola Ogunleye and Qing-Guo Wang, “XGBoost Model for Chronic Kidney Disease Diagnosis,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, Online, Print ISSN: 1545-5963, DOI: 10.1109/TCBB.2019.2911071.
[13] Cui-li Jin, Li-Li Li, Rui Wang and Qing-Guo Wang, “Output regulation for stochastic delay systems under asynchronous switching with dissipativity”, International Journal of Control, Online, ISSN Print: 0020-7179, DOI: 10.1080/00207179.2019.1600030.
[14] Lei Wang, Quanyi Liang, Zhikun She, Jinhu Lv and Qing-Guo Wang ,”A Decomposition Approach for Synchronization of Heterogeneous Complex Networks”, IEEE Transactions on Systems, Man and Cybernetics: Systems, Online, Print ISSN: 2168-2216, DOI: 10.1109/TSMC.2018.2883649.
[15] Junhui Zhang, Qing-Guo Wang and Jitao Sun, “On finite-time stability of nonautonomous nonlinear systems”, International Journal of Control, Online, Print ISSN: 0020-7179, DOI:10.1080/00207179.2018.1536831. Volume 93, 2020 – Issue 4; Pages 783-787
[16] Willem Esterhuizen and Qing-Guo Wang, “Finite-Time Stability and Stabilization with Polyhedral Domains for Linear Systems”, International Journal of Control, Online, Print ISSN: 00207179, DOI: 10.1080/00207179.2018.1541364.
[17] Lei Wang, Ya-Nan Bai, Ning Huang and Qing-Guo Wang, “Fractal-based Reliability Measure for Heterogeneous Manufacturing Networks”, IEEE Transactions on Industrial Informatics, Vol. 15, No. 12, pp. 6407 – 6414, 2019, Print ISSN: 1551-3203, DOI: 10.1109/TII.2019.2901890.
[18] Xian Li, Qing-Guo Wang, Xiaocong Li, Kok Kiong Tan, Lihua Xie, “Feedforward Control With Disturbance Prediction for Linear Discrete-Time Systems”, IEEE Transactions on Control Systems Technology, Vol. 27, No. 6, 2019, pp. 2340-2350, Print ISSN: 1063-6536, DOI: 10.1109/TCST.2018.2859911.
[19] Mouquan Shen, Sing Kiong Nguang, Choon Ki Ahn and Qing-Guo Wang, “Robust H_2 Control of Linear Systems with Mismatched Quantization”, IEEE Transactions on Automatic Control, Vol. 64, No. 4, pp. 1702-1709, 2019, Print ISSN: 0018-9286, DOI: 10.1109/TAC.2018.2856899
[20] Jian Chen, Chong Lin, Bing Chen and Qing-Guo Wang, “Regularization and Stabilization for Rectangular T–S Fuzzy Discrete-Time Systems With Time Delay”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 49, No. 4; pp. 833-842, 2019, Print ISSN: 2168-2216, DOI: 10.1109/TSMC.2017.2686433.
[21] Zhi-Ming Zhang, Yong He, Min Wu, Qing-Guo Wang, “Exponential Synchronization of Neural Networks With Time-Varying Delays via Dynamic Intermittent Output Feedback Control”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 49, No. 3, pp. 612-622, 2019, Print ISSN: 2168-2216, DOI: 10.1109/TSMC.2017.2753944.
[22] Tao Liu, Shoulin Hao, Dewei Li, Wen-Hua Chen, Qing-Guo Wang, “Predictor-Based Disturbance Rejection Control for Sampled Systems With Input Delay”, IEEE Transactions on Control Systems Technology, Vol. 27, No. 2; pp. 772-780, 2019, Print ISSN: 1063-6536, DOI: 10.1109/TCST.2017.2781651.
[23] Lei Wang, Chanying Li, Michael Z. Q. Chen, Qing-Guo Wang and Fei Tao, “Connectivity-based Accessibility for Public Bicycle Sharing Systems”, IEEE Transactions on Automation Science and Engineering, Vol. 15, No. 4, pp. 1521-1532, 2018, Print ISSN: 1545-5955, DOI: 10.1109/TASE.2018.2868471.
[24] Jie Hou, Tao Liu and Qing-Guo Wang, “Recursive subspace identification subject to relatively slow time-varying load disturbance”, International Journal of Control, Vol. 91, No. 3, pp. 622-638, 2018, Print ISSN: 0020-7179, DOI: 10.1080/00207179.2017.1286538.
[25] Dan Zhang, Qing-Guo Wang, Dipti Srinivasan, Hongyi Li and Li Yu, “Asynchronous state estimation for discrete-time switched complex networks with communication constraints”, IEEE Transactions on Neural Networks and Learning Systems, Vol. 29, No. 5, pp. 1732-1746, 2018, Print ISSN: 2162-237X, DOI: 10.1109/TNNLS.2017.2678681.
[26] Dan Zhang and Qing-Guo Wang, “Distributed H∞ Output-feedback Control for Consensus of Heterogeneous Linear Multi-Agent Systems with Aperiodic Sampled-Data Communications”, IEEE Transactions on Industrial Electronics. Regular paper. Vol. 65, No. 5, pp.4145-4155, 2018, Print ISSN: 0278-0046, DOI: 10.1109/TIE.2017.2772196.
[27] Dan Zhang, Zhenhua Xu, Hamid Reza Karimi, and Qing-Guo Wang, “Distributed Filtering for Switched Linear Systems with Sensor Networks in Presence of Packet Dropouts and Quantization”, IEEE Transactions on Circuits and Systems-I: Regular papers, Vol. 64, No. 10, pp. 2783–2796, 2017, Print ISSN: 1549-8328, DOI: 10.1109/TCSI.2017.2695481.
[28] Chuan-Ke Zhang,, Yong He, Lin Jiang , Qing-Guo Wang and Min Wu, “Stability Analysis of Discrete-Time Neural Networks With Time-Varying Delay Via An Extended Reciprocally Convex Matrix Inequality”, IEEE Transactions on Cybernetics, Vol.47, No.10 , pp. 3040 –3049, 2017, Print ISSN: 2168-2267, DOI: 10.1109/TCYB.2017.2665683.
[29] Quanyi liang, Zhikun She, Lei Wang, Michael Z. Q. Chen and Qing-Guo Wang, “Characterizations and Criteria for Synchronization of Heterogeneous Networks to Linear Subspaces”, SIAM Journal on Control and Optimization, Vol. 55, No. 6, pp. 4048-4071, 2017, Print ISSN:0363-0129, DOI: 10.1137/16M1086509.
[30] Chuan-Ke Zhang, Yong He, Lin Jiang, Min Wu and Qing-Guo Wang, “An Extended Reciprocally Convex Matrix Inequality for Stability Analysis of Systems With Time-Varying Delay”, Automatica, Vol. 85, pp.481-485, 2017, Print ISSN: 0005-1098, DOI: 10.1016/j.automatica.2017.07.056.
[31] Xin Lin, Kunpeng Zhu and Qing-Guo Wang, “Three-Dimensional CAD Model Matching with Anisotropic Diffusion Maps”, IEEE Transactions on Industrial Informatics, Vol. 14, No. 1, pp. 265-274, 2017, Print ISSN:1551-3203, DOI: 10.1109/TII.2017.2696042.