Minghui Zheng

PhD

Minghui Zheng.

Minghui Zheng

PhD

Minghui Zheng

PhD

Research Interests

Iterative learning control; high precision control; nonlinear/robust control with applications to robotics; autonomous systems; manufacturing

Contact Information

1007 Furnas Hall

Buffalo NY, 14260

Phone: (716) 645-1432

mhzheng@buffalo.edu

Biography Publications Teaching Research

Selected Publications

  • Z. Liu, M. Su, Y. Sun, L. Li, H. Han, X. Zhang, and M. Zheng, “Optimal criterion and global/sub-optimal control schemes of decentralized economical dispatch for ac microgrid,”InternationalJournal of Electrical Power & Energy Systems, vol. 104, pp. 38–42, 2019. Doi.org/10.1016/j.ijepes.2018.06.045
  • Y. Liu, L. Guan, C. Hou, H. Han, Z. Liu, Y. Sun, and M. Zheng, “Wind power short-term predictionbased on LSTM and discrete wavelet transform,”Applied Sciences, vol. 9, no. 6, p. 1108, 2019.Doi.org/10.3390/app9061108
  • Y. Liu, M. Su, F. Liu, M. Zheng, X. Liang, G. Xu, and Y. Sun, “Single-phase inverter with wideinput voltage and power decoupling capability,”IEEE Access, vol. 7, pp. 16870–16879, 2019.Doi.org/10.1109/ ACCESS.2019.2895350
  • M. Zheng∗, F. Zhang, and X. Liang, “A systematic design framework for iterative learningcontrol with current feedback,”IFAC Journal of Systems and Control, vol. 5, pp. 1–10, 2018.Doi.org/10.1016/ j.ifacsc.2018.06.001
  • X. Liang, M. Zheng∗, and F. Zhang, “A scalable model-based learning algorithm with application toUAVs,”IEEE control systems letters, vol. 2, no. 4, pp. 839–844, 2018. Doi.org/10.1109/LCSYS.2018.28 49576
  • L. Li, Y. Sun, Z. Liu, X. Yuan, M. Su, X. Hou, and M. Zheng, “A series-parallel PV-storageindependent microgrid and its decentralized control,”International Transactions on Electrical EnergySystems, e2715, 2018. Doi.org/10.1002/etep.2715
  • Y. Liu, Q. Liu, C. Lv, M. Zheng, and X. Ji, “A study on objective evaluation of vehicle steering comfortbased on driver’s electromyogram and movement trajectory,”IEEE Transactions on Human-MachineSystems, vol. 48, no. 1, pp. 41–49, 2018. Doi:10.1109/THMS.2017.275546