Qingling Wang

Qingling Wang

School of Automation, Southeast University

Biography

Qingling Wang, Professor and Ph.D. Supervisor, received his Bachelor’s and Master’s degrees from Central South University in 2007 and 2010, respectively, and his Ph.D. degree from Harbin Institute of Technology in 2014. From January 2012 to January 2014, he was a CSC joint Ph.D. student at the Australian National University. He joined the School of Automation, Southeast University in July 2014, and has been engaged in the research of control and optimization of autonomous unmanned systems and multi-agent games for a long time. He has led five national-level projects and over ten provincial and ministerial-level projects, including those funded by the Jiangsu Natural Science Foundation. As a key contributor, he has participated in the strategic research report for the 14th Five-Year Plan for the automation discipline, pre-research projects for the Equipment Development Department, and key projects of the National Natural Science Foundation. He has received numerous accolades, including the First Prize in the Jiangsu Provincial Teaching and Research Achievement Award in 2018 and the Best Theory Paper Award at the Youth Academic Annual Conference of the Chinese Association of Automation in 2020. His students, under his mentorship, won the First Prize in the National Intelligent Joint Maritime Warfare Algorithm Competition in 2022 and the Third Prize in the Air Intelligence Game in the same year. Professor Wang has published over 70 high-quality papers in prestigious journals such as IEEE Transactions and Acta Automatica Sinica. He currently serves as the Deputy Secretary-General of the Youth Working Committee of the Chinese Association of Automation and is a Senior Member of IEEE.

Education Background

2010.09 – 2014.04 Ph.D., Control theory and control engineering, Harbin Institute of Technology, China.
2012.01 – 2014.01 Visiting Student, Australian National University, Australia.
2007.09 – 2010.06 M.Sc., Control theory and control engineering, Central South University, China.
2003.09 – 2007.06 B.Sc., School of Automation, Central South University, China.

Work Experiences

2023.04 – Now Professor at Southeast University, Nanjing, China.
2018.04 – 2023.04 Associate Professor at Southeast University, Nanjing, China.
2016.10 – 2017.01 Visiting Scholar at Technical University of Berlin, Germany.
2014.07 – 2018.04 Assistant Professor at Southeast University, Nanjing, China.

Research Areas

  • Adaptive Control
  • Multi-agent Systems
  • Reinforcement Learning

Professional Activities

Editor and Editorial Board Member

  • Complexity (2019–, SCI Indexed)
  • Mathematical Problems in Engineering（2020–，SCI indexed）
  • Frontiers in Control Engineering（2020–)

Guest Editorship

  • Artificial Intelligence and Autonomous Systems (Frontiers in Control Engineering) Manuscript Due: 30 September 2022 https://www.frontiersin.org/research-topics/36804/artificial-intelligence-and-autonomous-systems

Academic/Conference Activities

  • Publicity Chair The Youth Academic Annual Conference of CAA (YAC2018-YAC2024)
  • PC Member, IEEE CYBER2018、YAC2016、 ANT2016
  • Reviewer, American Mathematical Reviews

Academic Awards

  • The Creative Founder Award-Innovation Award, China Association of Inventions, Second Prize, 2024
  • National Intelligent Joint Maritime Warfare Algorithm Competition, Chinese Institute of Command and Control, First Prize, 2022
  • Best Theoretical Paper Award, The 35th Youth Academic Annual Conference of Chinese Association of Automation (YAC2020), 2020
  • Teaching and Research Achievement Award (Research), Jiangsu Province in China, First Prize, 2018
  • National Intelligent Technology Papers Competition, Chinese Association of Automation, Second Prize, 2018
  • Outstanding Achievement Award, Natural Science Foundation of Jiangsu, 2018
  • Outstanding Service, Journal of the Franklin Institute, 2018
  • [8] Outstanding Reviewers, Journal of the Franklin Institute (2018), ISA Transactions (2017) and Neurocomputing (2017)

Research Project

  • 2024-2027, Research on distributed optimal consensus of nonlinear multi-agent systems. Supported by National Natural Science Foundation of China (500K RMB, Grant No. 62373102, Principal Investigator)
  • 2022-2025, Research on the Consensus Problem for Uncertain Multiagent Systems with Unknown Control Directions. Supported by Natural Science Foundation of Jiangsu Province, China (100K RMB, Grant No. BK20221455, Principal Investigator)
  • 2022-2024, Key Technologies and Applications of Autonomous Decision and Intelligent Learning for Unmanned Swarm Systems. Supported by Anhui Provincial Key Research and Development Project, China (780K RMB, Grant No. 2022i01020013, Principal Investigator)
  • 2021-2023, Reinforcement Learning based Multi-Agent Cooperative Control with Disturbance Rejection and Its Applications. Supported by National Natural Science Foundation of China and the Royal Society of UK (100K RMB, Grant No. 62111530149, Principal Investigator)
  • 2020-2023, Research on High-order Nonlinear Multi-Agent Systems with Unknown Control Coefficients. Supported by National Natural Science Foundation of China (570K RMB, Grant No. 61973074, Principal Investigator)
  • 2016-2018, Robust Consensus for Multiagent Systems with Saturation Constraints. Supported by National Natural Science Foundation of China (240K RMB, Grant No. 61503079, Principal Investigator)
  • 2015-2018, Fixed-time Consensus for Multiagent Systems with Saturation Constraints. Supported by Natural Science Foundation of Jiangsu Province, China (200K RMB, Grant No. BK20150625, Principal Investigator)

Selected Publications

  • Qingling Wang, Wenqiang Wu, A distributed finite-time optimization algorithm for directed networks of continuous-time agents, International Journal of Robust and Nonlinear Control, 2024, 34(6): 4032-4050.
  • Qingling Wang, H.E. Psillakis, Changyin Sun, Frank L. Lewis, Adaptive NN distributed control for time-varying networks of nonlinear agents with antagonistic interactions, IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(6): 2573-2583.
  • Qingling Wang, Changyin Sun, Distributed asymptotic consensus in directed networks of nonaffine systems with nonvanishing disturbance, IEEE/CAA Journal of Automatica Sinica, 2021, 8(6): 1133-1140.
  • Qingling Wang, H.E. Psillakis, Changyin Sun, Cooperative control of multiple high-order agents with non-identical unknown control directions under fixed and time-varying topologies, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021, 51(4): 2582-2591.
  • Qingling Wang, Yuanda Wang, Changyin Sun, Cooperative control with designated convergence rate for high-order integrators under heterogeneous couplings, Journal of the Franklin Institute, 2021, 358(9): 4626-4642.
  • Qingling Wang, Changyin Sun, A continuous distributed control algorithm for time-varying networks of nonlinear agents with input saturation, International Journal of Robust and Nonlinear Control, 2021, 31(10): 4616-4628.
  • Qingling Wang, Convergence of time-varying networks and its applications, Frontiers of Information Technology & Electronic Engineering, 2021, 22(1): 88-96.
  • Qingling Wang, H.E. Psillakis, Changyin Sun, Adaptive cooperative control with guaranteed convergence in time-varying networks of nonlinear dynamical systems, IEEE Transactions on Cybernetics, 2020, 50(12): 5035-5046.
  • Qingling Wang, Changyin Sun, Adaptive consensus of multi-agent systems with unknown high-frequency gain signs under directed graphs, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(6): 2181-2186.
  • Qingling Wang, H.E. Psillakis, Changyin Sun, Cooperative control of multiple agents with unknown high-frequency gain signs under unbalanced and switching topologies, IEEE Transactions on Automatic Control, 2019, 64(6): 2495-2501.
  • Qingling Wang, Changyin Sun, Yangyang Chen, Adaptive neural network control for course-keeping of ships with input constraints, Transactions of the Institute of Measurement and Control, 2019, 41(4): 1010-1018.
  • Qingling Wang, Changyin Sun, Xin Xin, Robust consensus tracking of linear multiagent systems with input saturation and input-additive uncertainties, International Journal of Robust and Nonlinear Control, 2017, 27(14): 2393-2409.
  • Qingling Wang, Xianghui Cao, Changyin Sun, Robust output synchronization of linear multi-agent systems with constant disturbances via integral control, International Journal of Robust and Nonlinear Control, 2017, 27(9): 1628-1639.
  • Qingling Wang, Changyin Sun, Coordinated tracking of linear multiagent systems with input saturation and stochastic disturbances, ISA Transactions, 2017, 71(1): 3-9.
  • Qingling Wang, Scaled consensus of multi-agent systems with output saturation, Journal of the Franklin Institute, 2017, 354(14): 6190-6199.
  • Qingling Wang, Yuanda Wang, Changyin Sun, Fixed-time consensus of multi-agent systems with directed and intermittent communications, Asian Journal of Control, 2017, 19(1): 95-105.
  • Qingling Wang, Changyin Sun, Conditions for consensus in directed networks of agents with heterogeneous output saturation, IET Control Theory and Applications, 2016, 10(16): 2119-2127.
  • Qingling Wang, Changbin Yu, Huijun Gao, Semiglobal stabilization of saturated linear systems via multiple parametric Lyapunov equations, International Journal of Robust and Nonlinear Control, 2015, 25(1): 16-31.
  • Qingling Wang, Changbin Yu, Huijun Gao, Synchronization of identical linear dynamic systems subject to input saturation, Systems and Control Letters, 2014, 64(1): 107-113.
  • Qingling Wang, Changbin Yu, Huijun Gao, Semiglobal synchronization of multiple generic linear agents with input saturation, International Journal of Robust and Nonlinear Control, 2014, 24(18): 3239-3254.
  • Qingling Wang, Cheng Peng, Huijun Gao, M. Basin, Global consensus of single-integrator agents subject to saturation constraints, IET Control Theory and Applications, 2014, 8(9): 765-771.
  • Qingling Wang, Huijun Gao, Global consensus of multiple integrator agents via saturated controls, Journal of the Franklin Institute, 2013, 350(8): 2261-2276.
  • Wenqiang Wu, Qingling Wang, Distributed optimal consensus via PI regulation for high-order nonlinear agents over directed networks, International Journal of Robust and Nonlinear Control, 2024, DOI: 10.1002/rnc.7564.
  • Chenchen Fan, Hongyu Xu, Qingling Wang*, Multi-agent deep reinforcement learning for trajectory planning in UAVs-assisted mobile edge computing with heterogeneous requirements, Computer Networks, 2024, 248: 110469: 1-15.
  • Xuerao Wang, Qingling Wang, Yanxu Su, Yuncheng Ouyang, and Changyin Sun, Adaptive sensor-fault tolerant control of unmanned underwater vehicles with input saturation, IEEE/CAA Journal of Automatica Sinica, 2024, 11(4): 907-918.
  • Xuerao Wang, Yuncheng Ouyang, Xiao Wang, Qingling Wang*, A novel, finite-time, active fault-tolerant control framework for autonomous surface vehicle with guaranteed performance. Journal of Marine Science and Engineering, 2024, 12(2): 347.
  • Wenbo Zhu, Qingling Wang*, Distributed finite-time optimization of multi-agent systems with time-varying cost functions under digraphs, IEEE Transactions on Network Science and Engineering, 2024, 11(1): 556 - 565.
  • Wenbo Zhu, Qingling Wang*, Distributed optimization of high-order nonlinear multi-agent systems with disturbance under switching topologies, Optimal Control Applications and Methods, 2024, 45(3): 974-992
  • Yibai Wang, Shulong Zhao, Qingling Wang*, Cooperative control of velocity and heading for unmanned surface vessel based on twin delayed deep deterministic policy gradient with an integral compensator, Ocean Engineering, 2023, 288: 115943.
  • Wenbo Zhu, Changyin Sun, Qingling Wang*, Distributed finite-time optimization algorithms for multi-agent systems under directed graphs, International Journal of Robust and Nonlinear Control, 2023, 33: 6286–6307.
  • Wenbo Zhu, Qingling Wang*, Distributed finite-time optimization of multi-agent systems with unknown high-frequency gain signs under switching digraphs, International Journal of Systems Science, 2023, 54(5): 1033-1046.
  • Huan Hu, Qingling Wang*, Proximal policy optimization with an integral compensator for quadrotor control, Frontiers of Information Technology & Electronic Engineering, 2020, 21(5): 777-795.
  • Yanxu Su, Qingling Wang, Changyin Sun, Distributed primal-dual method for convex optimization with coupled constraints, IEEE Transactions on Signal Processing, 2022, 70：523 – 535.
  • Jiaqi Li, Qingling Wang, Yanxu Su, Changyin Sun, Robust distributed model predictive consensus of discrete-time multi-agent systems: a self-triggered approach, Frontiers of Information Technology & Electronic Engineering, 2021, 22 (8): 1068-1079.
  • Athanasios Gkesoulis, H. E. Psillakis, Qingling Wang, PdI regulation for consensus: application to unknown pure-feedback agents with state and communication delays, IEEE Transactions on Control of Network Systems, 2021, 8 (4): 1964 -1974.
  • Xuerao Wang, Qingling Wang, Changyin Sun, Prescribed performance fault-tolerant control for uncertain nonlinear MIMO system using actor-critic learning structure, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33 (9): 4479 - 4490.
  • Xuerao Wang, Qingling Wang, Changyin Sun, Adaptive tracking control for high-order MIMO nonlinear systems with prescribed performance, Frontiers of Information Technology & Electronic Engineering, 2021, 22 (7): 986-1001.
  • H.E. Psillakis, Qingling Wang, Distributed adaptive consensus of nonlinear heterogeneous agents with delayed and sampled neighbor measurements, IEEE Transactions on Cybernetics, 2022, 52 (4): 2340 -2350.
  • Yanxu Su, Qingling Wang, Changyin Sun, Self-triggered consensus control for linear multi-agent systems with input saturation, IEEE/CAA Journal of Automatica Sinica, 2020, 7(1): 150-157.
  • Deyuan Liu, Hao Liu, Zhaoying Li, Xiaolei Hou, Qingling Wang, Robust attitude control for tail-sitter unmanned aerial vehicles in flight mode transitions, International Journal of Nonlinear and Control, 2019, 29(4): 1132-1149.
  • Yanxu Su, Qingling Wang, Changyin Sun, Self-triggered robust model predictive control for nonlinear systems with bounded disturbances, IET Control Theory and Applications, 2019, 13(9): 1336-1343.
  • Ming Liu, Qingling Wang, Hongyi Li, State estimation and stabilization for nonlinear networked control systems with limited capacity channel, Journal of the Franklin Institute, 2011, 348(8): 1869-1885.
  • Ming Liu, Qingling Wang, Sheng Qu, State estimation for discrete-time singular jump systems with non-accessible mode information, Circuits, Systems & Signal Processing, 2012, 31(2): 761-777.
  • Qingling Wang, Yuanda Wang, Exponential consensus in directed networks of multi-agents with saturated protocols, Journal of Interconnection Networks, 2016, 16(2): 1650003.
  • Qingling Wang, Huijun Gao, F. Alsaadi, T. Hayat, An overview of consensus problems in constrained multi-agent coordination, Systems Science and Control Engineering, 2014, 2(1): 275-284.