》  Research Fields

Predictive control; cooperative optimization; intelligent decision; dynamic programming; data-driven control; learning control; machine learning; and their industrial applications.

》  Courses

》  Projects

》  Publications

1.Yuanqiang Zhou, Huanjia Hu, Weilong Ding, Kaihua Gao, Dewei Li, and Furong Gao, “Cooperative distributed predictive control for smart injection molding systems with one-tap memory,” IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2024.3378838, 2024.

2.Yuanqiang Zhou, Xiaopeng Tang, Dewei Li, Xin Lai, and Furong Gao, “Combined iterative learning and model predictive control scheme for nonlinear systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, doi: 10.1109/TSMC.2024.3368108, 2024.

3.Yuanqiang Zhou and Furong Gao, “Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data,” Journal of Process Control, vol. 130, pp. 103088, 2023.

4.Yuanqiang Zhou, Kaihua Gao, Xiaopeng Tang, Huanjia Hu, Dewei Li, and Furong Gao, “Conic input mapping design of constrained optimal iterative learning controller for uncertain systems,” IEEE Transactions on Cybernetics, vol. 53, no. 3, pp. 1843-1855, 2023.

5.Yuanqiang Zhou, Dewei Li, and Furong Gao, “Input mapping design for batch-to-batch optimization with limited memory,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 1, pp. 171-175, 2023.

6.Yuanqiang Zhou, Dewei Li, and Furong Gao, “Data-driven optimal synchronization control for leader-follower multi-agent systems,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 53, no. 1, pp. 495-503, 2023.

7.Yuanqiang Zhou, Zhixing Cao, Jingyi Lu, Chunhui Zhao, Dewei Li, and Furong Gao, “Objectives, challenges, and prospects of batch processes: Arising from injection molding applications,” Korean Journal of Chemical Engineering, vol. 39, no. 12, pp. 3179-3189, 2022.

8.Yuanqiang Zhou, Dewei Li, Yugeng Xi, and Furong Gao, “Event-triggered distributed robust model predictive control for a class of nonlinear interconnected systems,” Automatica, vol. 136, pp. 110039, 2022.

9.Yuanqiang Zhou, Dewei Li, and Furong Gao, “Conic iterative learning control using distinct data for constrained batch processes with state-dependent uncertainty,” IEEE Transactions on Industrial Informatics, vol. 18, no. 5, pp. 3095-3104, 2022.

10.Yuanqiang Zhou, Kyriakos G. Vamvoudakis, Wassim M. Haddad, and Zhong-Ping Jiang, “A secure control learning framework for cyber-physical systems under sensor and actuator attacks,” IEEE Transactions on Cybernetics, vol. 51, no. 9, pp. 4648-4660, 2021.

11.Yuanqiang Zhou, Kaihua Gao, Dewei Li, Zuhua Xu, and Furong Gao, “Data-efficient constrained learning for optimal tracking of batch processes,” Industrial & Engineering Chemistry Research, vol. 60, no. 43, pp. 15658-15668, 2021.

12.Yuanqiang Zhou, Dewei Li, and Furong Gao, “Optimal synchronization control for heterogeneous multi-agent systems: Online adaptive learning solutions,” Asian Journal of Control, vol. 24, no. 5, pp. 2352-2362, 2021.

13.Yuanqiang Zhou, Dewei Li, Yugeng Xi, and Zhongxue Gan, “Synthesis of model predictive control based on data-driven learning,” Science China: Information Sciences, vol. 63, no. 8, pp. 189204, 2020.

14.Yuanqiang Zhou, Dewei Li, Yugeng Xi, and Zhongxue Gan, “Periodic event-triggered control for distributed networked multi-agents with asynchronous communication: A predictive control approach,” International Journal of Robust and Nonlinear Control, vol. 29, no. 1, pp. 43-46, 2019.

15.Yuanqiang Zhou, Dewei Li, Jianbo Lu, Yugeng Xi, and Lihui Cen, “Networked and distributed predictive control of non-linear systems subject to asynchronous communication,” IET Control Theory and Applications, vol. 12, no. 4, pp. 504-514, 2018.

16.Yuanqiang Zhou, Xiaopeng Tang, Furong Gao, Xin Lai, Dewei Li, and Weiguo Ma, “A gradient descent method for optimal batch-to-batch control of unknown linear systems,” The 2023 3rd International Symposium on Instrumentation, Control, Artificial Intelligence & Robotics (ICA-SYMP 2023), IEEE, Bangkok, Thailand, January 18-20, 2023.

17.Yuanqiang Zhou and Furong Gao, “Data-enhanced learning compensation for linear predictive control of nonlinear chemical processes,” The 13th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS), the Westin Josun, Busan, Republic of Korea, 14–17 June 2022.

18.Yuanqiang Zhou, Dewei Li, Xin Lai, and Furong Gao, “Combined iterative learning and model predictive control scheme for nonlinear batch processes,” The 4th International Conference on Industrial Artificial Intelligence (IAI 2022), IEEE, Shenyang, Liaoning, China, August 24-27, 2022.

19.Yuanqiang Zhou, Kyriakos G. Vamvoudakis, Wassim M. Haddad, and Zhong-Ping Jiang, “A secure control learning framework for cyber-physical systems under sensor attacks,” Proc. American Control Conference (ACC), pp. 4280-4285, Philadelphia, PA, USA, 2019.

20.Yuanqiang Zhou, Dewei Li, Yugeng Xi, Lihui Cen, Yuli Xu, and Zhongxue Gan, “Distributed model predictive control for nonlinear networked systems with asynchronous communication,” Control Conference (CCC) 2017 36th Chinese, Dalian, China, pp. 4682-4687, 2017.

21.Yuanqiang Zhou, Dewei Li, Yugeng Xi, and Jianbo Lu, “An adaptive model predictive control strategy for discrete-time nonlinear system,” Control Conference (CCC) 2016 35th Chinese, Chengdu, China, pp. 4390-4395, 2016..

22.Kaihua Gao, Yuanqiang Zhou, Jingyi Lu, and Furong Gao, “A selective migration-based improved GPR modeling method for batch process,” IEEE Transactions on Systems, Man, and Cybernetics: Systems,to appear,doi: 10.1109/TSMC.2024.3353802, 2024.

23.Xiaopeng Tang, Xin Lai, Changfu Zou, Yuanqiang Zhou, Jiajun Zhu, Yuejiu Zheng, and Furong Gao, “Detecting abnormality of battery lifetime from first-cycle data using few-shot learning,” Advanced Science, vol. 11, no. 6, pp. 2305315, doi: 10.1002/advs.202305315, 2023.

24.Xin Lai, Ming Yuan, Xiaopeng Tang, Yuejiu Zheng, Jiajun Zhu, Yuedong Sun, Yuanqiang Zhou, and Furong Gao, “State-of-power estimation for Lithium-Ion batteries based on a frequency-dependent integer-order model,” Journal of Power Sources, vol. 594, pp. 234000, doi:10.1016/j.jpowsour.2023.234000; 2023.

25.Xiaopeng Tang, Jiajun Zhu, Xin Lai, Yuanqiang Zhou, Yuejiu Zheng, and Furong Gao, “An aging- and load-insensitive method for quantitatively detecting the battery internal-short-circuit resistance,” Chemical Engineering Journal, vol. 476, pp. 146467, doi: 10.1016/j.cej.2023.146467, 2023.

26.Xin Lai, Yi Yao, Xiaopeng Tang, Yuejiu Zheng, Yuanqiang Zhou, Yuedong Sun, and Furong Gao, “Voltage profile reconstruction and state of health estimation for lithium-ion batteries under dynamic working conditions,” Energy, vol. 282, pp. 128971, 2023.

27.Xiaopeng Tang, Xin Lai, Qi Liu, Yuejiu Zheng, Yuanqiang Zhou, Yunjie Ma, and Furong Gao, “Predicting battery impedance spectra from 10-second pulse tests under 10Hz sampling rate,” iScience, vol. 26, no. 6, pp. 106821, 2023.

28.Xin Lai, Bin Li, Xiaopeng Tang, Yuanqiang Zhou, Yuejiu Zheng, and Furong Gao, “A quantitative method for early-stage detection of the internal-short-circuit in Lithium-ion battery pack under float-charging conditions,” Journal of Power Sources, vol. 573, pp. 233109, 2023.

29.Xiaopeng Tang, Yuanqiang Zhou, Furong Gao, and Xin Lai, “Joint estimation of state-of-charge and state-of-health for all cells in the battery pack using “leader-follower” strategy,” eTransportation, vol. 15, pp. 100213, 2022.

30.Xin Lai, Huanghui Gu, Quanwei Chen, Xiaopeng Tang, Yuanqiang Zhou, Furong Gao, Xuebing Han, Yue Guo, Rohit Bhagat, and Yuejiu Zheng, “Investigating greenhouse gas emissions and environmental impacts from the production of lithium-ion batteries in China,” Journal of Cleaner Production, vol. 372, pp. 133756, 2022. (

31.Xin Lai, Quanwei Chen, Xiaopeng Tang, Yuanqiang Zhou, Furong Gao, Yue Guo, Rohit Bhagat, and Yuejiu Zheng, “Critical review of life cycle assessment of lithium-ion batteries for electric vehicles: A lifespan perspective,” eTransportation, vol. 12, pp. 100169, 2022.

32.Yonghe Zhang, Xuwen Liang, Yuanqiang Zhou, Yannning Guo, and Guangfu Ma, “Full-Matrix MIMO QFT controller design for drag-free satellites in dual formation,” Journal of Astronautics, vol. 37, no.7, pp. 819-828, 2016.

33.Yibo Zhang, Dewei Li, Yuanqiang Zhou, and Furong Gao, “Quality prediction of injection molding process using CNN and parallel-cascade LSTMs,”,Control Conference (CCC) 202443th Chinese,Kunming, China,July 28-31, 2024.

34.Kaihua Gao, Yuanqiang Zhou, Jingyi Lu, Zhixing Cao, and Furong Gao, “A virtual cycle-based iterative learning control framework for repetitive system with randomly varying initial state,” The 12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2024),Toronto,Canada,July 14-17, 2024

35.Xiaopeng Tang, Xin Lai, Yuanqiang Zhou, Ming Yuan, and Furong Gao, “Using frequency-dependent integer order models to simulate fractional order model for battery management,” The International Conference on Energy Storage and Intelligent Vehicles (ICEIV2022), IEEE, Chongqing, China, September 16-18, pp. 1276-1284, 2022.