David Yongduan Song, Fellow of IEEE, Fellow of International Eurasian Academy of Sciences, Fellow of Chinese Automation Association.
He received his Ph.D. degree in electrical and computer engineering from Tennessee Technological University, Cookeville, TN, USA, in 1992. He held a tenured full professor position with North Carolina Agricultural and Technical State University, Greensboro, NC, USA, from 1996 to 2008, and a Langley Distinguished Professor position with the National Institute of Aerospace, Hampton, VA, USA, from 2005 to 2008. He was one of the six Langley Distinguished Professors with the National Institute of Aerospace (NIA), and the Founding Director of the Center for Cooperative Systems with NIA. He is currently the Founding Director of the Institute of Smart Engineering, Chongqing University.
Dr. Song is a leading researcher in neural networks (NN) based adaptive control, significantly contributing to both NN theory methods and engineering applications. He is very active as associate editors for top IEEE journals, including IEEE Trans. on Neural Networks, IEEE Trans. on Automatic Control, IEEE Trans. Systems, Man, and Cybernetics, IEEE Trans. on Intelligent Transportation Systems, IEEE Trans. on Cognitive and Developmental Systems. As a scientific leader in the field of systems and control, he has been serving on various national and international technical committees.
Prof. Song has made original contributions in neural network adaptive control of nonlinear systems with real world applications, which can be assessed by his publications (over 200 papers) in prestigious international journals, including IEEE T-NNLS, IEEE T-FS, IEEE T-SMC, IEEE T-Cybernetics, IEEE T-AC, IEEE T-IE and Automatica. He authored/co-authored 11 books in the field of control and artificial intelligence. He also held over 50 patents, and has given numerous keynote speeches and invited talks, chaired several conferences.
Contact Information
Telephone: +86-23-65102056, +86-23-65103001
Fax: +86-23-65102056, +86-23-65103001
Email: ydsong@cqu.edu.cn
Address: Shazheng Street174#, Shapingba District, Chongqing, 400044, China
Education
Ph.D., (E.E.), Tennessee Technological University, USA, 1992.
M.S., (E.E.), Chongqing University, P. R. China, 1985.
B.S., (E.E.), Sichuan University, Chengdu P. R. China, 1983.
Academic Experience
Director, 2020/9-present, Research Institute for Artificial Intelligence at Chongqing University, P. R. China
Dean of School of Automation, 9/2012-6/2022, Chongqing University, Chongqing, P. R. China
Chair Professor, 9/2012-present, Chongqing University, Chongqing, P. R. China
Chair Professor, 12/2008-8/2012, Beijing Jiaotong University, P. R. China
Langley Distinguished Professor, 3/2005-8/2008, National Institute of Aerospace/
Professor, 7/2004-8/2008, NC A&T State University, USA
Founding Director, Center for Cooperative Systems at National Institute of Aerospace, 3/2004-8/20058, Hampton, Virginia
Professor, 7/2004-8/2008, NC A&T State University, USA
Associate Professor, 7/1999-6/2004, NC A&T State University, USA
Assistant Professor, 8/1993-7/1999, NC A&T State University, USA
Postdoctoral Fellow, 9/1992-8/1993, NASA-CORE, USA
Visiting Scholar, 11/1989-7/1990, The University of Newcastle, Australia
Research Fellow, 3/1987-10/1989, Beijing University of Aeronautics & Astronautics, P. R. China
Associate Lecturer, 2/1986-3/1987, University of Electronic Science and Technology of China, Chengdu, China
Research Interests
Control theory and applications
Renewable Energy Systems
Intelligent Robotic Systems
Publications
Part I – Books
1. Yongduan Song, Control of Nonlinear Systems via PI/PD/PID--stability and performance, CRC Publisher, Taylor & Francisco, Inc. 2019
2. Jiangshuai Huang, and Yongduan Song, Distributed and Adaptive Fault-tolerant Control, CRC Publisher, Taylor & Francisco, Inc. 2018
3. Yongduan Song, and Yujuan Wang, Cooperative Control Nonlinear Networked Systems, Springer, 2018
4. Fanghong Guo, Changyun Wen, and Yongduan Song, Distributed Optimization on Smart Grid, Springer, 2017
5. 宋永端、赵凯等，非线性系统控制设计与分析，科学出版社，2022
6. 宋永端，人工智能基础及应用，清华大学出版社，2021
7. 宋永端、谢昭莉等，自动控制原理（I），机械工业出版社，2020
8. 宋永端、马铁东等，自动控制原理（II），机械工业出版社，2020
9. 宋永端，工业机器人系统及先进控制，科学出版社，2019
10. 王磊、宋永端，风电系统容错控制，科学出版社，2017
11. 宋永端、李鹏等，风力发电及控制系统，电子工业出版社，2012
12. 宋永端、李丹勇等, 移动机器人及其自主化技术，机械工业出版社，2011
Part II – Referred Journal Papers (selected)
1. Bowen Peng, Zhirong Zhang, and Yongduan Song*, “Dynamic coverage control for constrained mobile sensor networks,” IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2023.3292172, 2023. (Full Paper)
2. Zhirong Zhang, Changyun Wen, Yongduan Song*, and Gang Feng, “Adaptive quantized output feedback control of nonlinear systems with mismatched uncertainties and sensor failures,” IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2023.3292743, 2023.
3. Zhirong Zhang, Changyun Wen, Lantao Xing, and Yongduan Song*, “Event-Triggered adaptive control for a class of nonlinear systems with mismatched uncertainties via intermittent and faulty output feedback,” IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2023.3287802, 2023.
4. Libei Sun, Xiucai Huang, and Yongduan Song*, “Decentralized intermittent feedback adaptive control of non-triangular nonlinear time-varying systems,” IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2023.3282450, 2023.
5. Xiucai Huang, Changyun Wen, and Yongduan Song*, “Adaptive neural control for uncertain constrained pure feedback systems with severe sensor faults: A complexity reduced approach,” Automatica, 147, 110701, 2023.
6. Hefu Ye, and Yongduan Song*, “Prescribed-time tracking control of MIMO nonlinear systems under non-vanishing uncertainties,” IEEE Transactions on Automatic Control, vol. 68, no. 6, pp. 3664-3671, 2023.
7. Xiucai Huang, and Yongduan Song*, “Distributed and performance guaranteed robust control for uncertain MIMO nonlinear systems with controllability relaxation,” IEEE Transactions on Automatic Control, vol. 68, no. 4, pp. 2460-2467, 2023.
8. Zhirong Zhang, Changyun Wen, Lantao Xing, and Yongduan Song*, “Adaptive event-triggered control of uncertain nonlinear systems using intermittent output only,” IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 4218-4225, 2022.
9. Zhirong Zhang, Changyun Wen, Lantao Xing, and Yongduan Song, “Adaptive output feedback control of nonlinear systems with mismatched uncertainties under input/output quantization,” IEEE Transactions on Automatic Control, vol. 67, no. 9, pp. 4801-4808, 2022.
10. Libei Sun, Xiucai Huang, and Yongduan Song*, “Distributed event-triggered control of networked strict-feedback systems via intermittent state feedback,” IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2022.3217914, 2022.
11. Zhirong Zhang, Changyun Wen, Kai Zhao, and Yongduan Song*, “Decentralized adaptive control of uncertain interconnected systems with triggering state signals,” Automatica, vol. 141, 110283, 2022.
12. Xiucai Huang*, and Yongduan Song, “Comments on “tracking performance guarantees in the presence of quantization for uncertain nonlinear systems”,” IEEE Transactions on Automatic Control, vol. 67, no. 6, pp. 3223-3225, 2022.
13. Kai Zhao, Yongduan Song*, C. L. Philip Chen, and Long Chen, “Adaptive asymptotic tracking with global performance for nonlinear systems with unknown control directions,” IEEE Transactions on Automatic Control, vol. 67, no. 3, pp. 1566-1573, 2022.
14. Ye Cao, Jianfu Cao, and Yongduan Song*, “Practical prescribed time tracking control over infinite time interval involving mismatched uncertainties and non-vanishing disturbances,” Automatica, vol. 136, pp. 110050, 2022.
15. Gang Chen*, Qing Yang, Yongduan Song, and Frank L. Lewis, “Fixed-time projection algorithm for distributed constrained optimization on time-varying digraphs,” IEEE Transactions on Automatic Control, vol. 67, no. 1, pp. 390-397, 2022.
16. Zhirong Zhang, Yongduan Song*, and Changyun Wen, “Adaptive decentralized output-feedback control dealing with static/dynamic interactions and different unknown subsystem control directions,” IEEE Transactions on Automatic Control, vol. 66, no. 8, pp. 3818-3824, 2021.
17. Jie Mei*, Wei Ren, and Yongduan Song, “A unified framework for adaptive leaderless consensus of uncertain multiagent systems under directed graphs,” IEEE Transactions on Automatic Control, vol. 66, no. 12, pp. 6179- 6186, 2021.
18. Cao, Shida, Rui Li*, Yingjing Shi, and Yongduan Song, “Safe convex-circumnavigation of one agent around multiple targets using bearing-only measurements,” Automatica, vol. 134, 109934, 2021.
19. Xiucai Huang, Yongduan Song*, and Changyun Wen, “Output feedback control for constrained pure-feedback systems: A non-recursive and transformational observer based approach,” Automatica, vol.113, 108789, 2020.
20. Kai Zhao, Yongduan Song*, and C. L. Philip Chen, “Control of nonlinear systems under dynamic constraints: a unified barrier function-based approach,” Automatica, vol. 119, 109102, 2020.
21. Gang Chen*, Qing Yang, Yongduan Song, and Frank L. Lewis, “A distributed continuous-time algorithm for nonsmooth constrained optimization,” IEEE Transactions on Automatic Control, vol. 65, no. 11, pp. 4914-4921, 2020.
22. Kai Zhao and Yongduan Song*, “Removing the feasibility conditions imposed on tracking control designs for state-constrained strict-feedback systems,” IEEE Transactions on Automatic Control, vol. 64, no. 3, pp. 1265-1272, 2019.
23. Kai Zhao, Yongduan Song*, and Zhirong Zhang, “Tracking control of MIMO nonlinear systems under full state constraints: A single-parameter adaptation approach free from feasibility conditions,” Automatica, vol. 107, pp. 52-60, 2019.
24. Xiucai Huang, Hassan K. Khalil, and Yongduan Song*, “Regulation of nonminimum-phase nonlinear systems using slow integrators and high-gain feedback,” IEEE Transactions on Automatic Control, vol. 64, no. 2, pp 640-653, 2019. (Full paper)
25. Ye Cao, Yongduan Song*, and Changyun Wen, “Practical tracking control of perturbed uncertain nonaffine systems with full state constraints,” Automatica, vol. 110, 108608, 2019.
26. Yujuan Wang* and Yongduan Song, “A general approach to precise tracking of nonlinear systems subject to non-vanishing uncertainties,” Automatica, vol. 106, pp. 306-314, 2019.
27. Xiaojie Su*, Xinxin Liu, Peng Shi, and Yongduan Song, “Sliding mode control of hybrid switched systems via an event-triggered mechanism,” Automatica, vol. 90, pp. 294-303, 2018.
28. Rui Li*, Yingjing Shi, and Yongduan Song, “Localization and circumnavigation of multiple agents along an unknown target based on bearing-only measurement: A three dimensional solution,” Automatica, vol. 94, pp. 18-25, 2018.
29. Shan Zuo*, Yongduan Song, F. L. Lewis, and A. Davoudi, “Adaptive output containment control of heterogeneous multi-agent systems with unknown leaders,” Automatica, vol. 92, pp. 235-239, 2018.
30. Yongduan Song* and Shuyan Zhou, “Tracking control of uncertain nonlinear systems with deferred asymmetric time-varying full state constraints,” Automatica, vol. 98, pp. 314-322, 2018.
31. Yujuan Wang* and Yongduan Song, “Leader-following control of high-order multi-agent systems under directed graphs: pre-specified finite time approach,” Automatica, vol. 87, pp. 113-120, 2018.
32. Peng Wang, Peng Lin*, Wei Ren, and Yongduan Song, “Distributed subgradient-based multiagent optimization with more general step sizes,” IEEE Transactions on Automatic Control, vol. 63, no. 7, pp. 2295-2302, 2018.
33. Yongduan Song*, Kai Zhao, and Miroslav Krstic, “Adaptive control with exponential regulation in the absence of persistent excitation,” IEEE Transactions on Automatic Control, vol. 62, no. 5, pp 2589-2596, 2017.
34. Yongduan Song*, Yujuan Wang, and Changyun Wen, “Adaptive fault-tolerant PI tracking control with guaranteed transient and steady-state performance,” IEEE Transactions on Automatic Control, vol. 62, no. 1, pp. 481-487, 2017.
35. Yongduan Song*, Yujuan Wang, John Holloway, and Miroslav Krstic, “Time-varying feedback for regulation of normal-form nonlinear systems in prescribed finite time,” Automatica, vol. 83, pp. 243-251, 2017.
36. Yongduan Song*, Beibei Zhang, and Kai Zhao, “Indirect neuroadaptive control of unknown MIMO systems tracking uncertain target under sensor failures,” Automatica, vol. 77, pp. 103-111, 2017.
37. Jiangshuai Huang*, Yongduan Song, Wei Wang, Changyun Wen, and Guoqi Li, “Smooth control design for adaptive leader-following consensus control of a class of high-order nonlinear systems with time-varying reference,” Automatica, vol. 83, pp. 361-367, 2017.
38. Fanghong Guo*, Changyun Wen, Jianfeng Mao, Guoqi Li, and Yongduan Song, “A distributed hierarchical algorithm for multi-cluster constrained optimization,” Automatica, vol. 77, pp. 230-238, 2017.
39. Sheida Ghapania, Wei Ren, Fei Chen, and Yongduan Song*, “Distributed average tracking for double-integrator multi-agent systems with reduced requirement on velocity measurements,” Automatica, vol. 81, pp. 1-7, 2017.
40. Yongduan Song*, Xiucai Huang, and Changyun Wen, “Tracking control for a class of unknown nonsquare MIMO nonaffine systems: A deep-rooted information based robust adaptive approach,” IEEE Transactions on Automatic Control, vol. 61, no. 10, pp 3227-3233, 2016.
41. Frank L. Lewis, Bing Cui, Tiedong Ma, Yongduan Song*, and Chunhui Zhao, “Heterogeneous multi-agent systems: reduced-order synchronization and geometry,” IEEE Transactions on Automatic Control, vol. 61, no. 5, pp 1391-1396, 2016.
42. Xiaojie Su, Peng Shi, Ligang Wu, and Yongduan Song*, “Fault detection filtering for nonlinear switched stochastic systems,” IEEE Transactions on Automatic Control, vol. 61, no. 5, pp 1310-1315, 2016.
43. Sheida Ghapani, Jie Mei, Wei Ren, and Yongduan Song*, “Fully distributed flocking with a moving leader for Lagrange networks with parametric uncertainties,” Automatica, vol. 67, pp. 67-76, 2016.
44. Peng Lin, Wei Ren, and Yongduan Song*, “Distributed multi-agent optimization subject to nonidentical constraints and communication delays,” Automatica, vol. 65, pp. 120-131, 2016.
45. Yujuan Wang, Yongduan Song*, Miroslav Krstic, and Changyun Wen, “Fault-tolerant finite time consensus for multiple uncertain nonlinear mechanical systems under single-way directed communication interactions and actuation failures,” Automatica, vol. 63, pp. 374-383, 2016.
46. Jiangshuai Huang*, Changyun Wen, Wei Wang, and Yongduan Song, “Design of adaptive finite-time controllers for nonlinear uncertain systems based on given transient specifications,” Automatica, vol. 69, pp. 395-404, 2016.
47. Jiangshuai Huang, Changyun Wen, Wei Wang*, and Yongduan Song, “Adaptive finite-time consensus control of a group of uncertain nonlinear mechanical systems,” Automatica, vol. 51, pp. 292-301, 2015.
48. Xiaojie Su*, Ligang Wu, Peng Shi, and Yongduan Song, “A novel approach to output feedback control of fuzzy stochastic systems,” Automatica, vol. 50, no. 12, pp. 3268-3275, 2014.
49. Yongduan Song*, T. Mitchell, and Y. H. Lai, “Control of a class of nonlinear uncertain systems via compensated inverse dynamics approach,” IEEE Transactions on Automatic Control, vol. 39, no. 9, pp. 1866-1871, 1994.
50. Yongduan Song* and R. H. Middleton, “Dealing with time-varying parameter problem of robot manipulators performing path tracking Tasks,” IEEE Transactions on Automatic Control, vol. 37, no. 10, pp. 1597-1601, 1992.
Patents
Hold over 50 patents
Research Grants
Received over 20 research grants/awards amounting to approximately $7M as Principal Investigator (PI) and $10M as co-Principal Investigator.
Awards/Honors
l Fellow, China Automation Association
l Fellow, IEEE
l Fellow, International Eurasian Academy of Sciences
l Who’s Who Among American Teachers
l Who’s Who in Science and Engineering
l Professional Engineer, USA
