Prof. Hesuan Hu

Xidian University, China

Email：[email protected],  [email protected]

Qualifications

2010 Ph.D., Xidian University

2005 M.Sc., Xidian University

2003 B.Sc., Xidian University

Publications (Selected)

1. Du, N., Niu, S., Yang, Y., Liu, Z., & Hu, H. (2025). Adaptive Deadlock Control for Automated Manufacturing Systems With Unreliable Resources Using Petri Nets. IEEE Transactions on Control of Network Systems.
2. Yue, H., Wang, C., Hu, H., Chen, J., Wang, M., & Pang, S. (2025). A simulated annealing method for minimum initial marking estimation in labeled Petri nets: Applications and comparative studies. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 09596518251334860.
3. Yue, H., Wu, Y., Wang, M., Hu, H., Wu, W., & Zhang, J. (2025). Multi-service collaboration and composition of cloud manufacturing customized production based on problem decomposition. The International Journal of Advanced Manufacturing Technology, 1-15.
4. Yue, H., Wang, C., Zhao, Z., Yang, X., Wang, M., & Hu, H. (2025). Engineering efficiency unleashed: minimum initial marking estimation in labeled Petri nets through a cutting-edge hybrid evolutionary heuristic. Engineering Computations, 42(3), 1267-1284.
5. Yue, H., Xu, Y., Hu, H., Wu, W., & Li, L. (2024). Minimum initial marking estimation in labeled Petri nets using minimum token number prediction. IEEE Transactions on Automatic Control.
6. Yue, H., Xu, Y., Xing, K., Hu, H., & Pang, S. (2024). Minimum initial marking estimation in labeled Petri nets with unobservable transitions based on minimal explanations. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 54(6), 3427-3438.
7. Du, N., Yang, Y., & Hu, H. (2023). Robust deadlock control in automated manufacturing systems with unreliable resources based on an algebraic way. International Journal of Production Research, 61(19), 6403-6417.
8. Zhong, W., Zhao, J., & Hu, H. (2023). Beacon-based firing control for authorization security in workflows. IEEE Transactions on Reliability, 72(4), 1594-1609.
9. Xu, L., Wu, F., Zhou, Y., Hu, H., Ding, Z., & Liu, Y. (2021, October). Criticality-guided deep reinforcement learning for motion planning. In 2021 China Automation Congress (CAC) (pp. 3378-3383). IEEE.
10. Wang, X., Hu, H., & Zhou, M. (2020). Discrete event approach to robust control in automated manufacturing systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(1), 123-135.
11. Du, N., & Hu, H. (2020). Robust deadlock detection and control of automated manufacturing systems with multiple unreliable resources using Petri nets. IEEE Transactions on Automation Science and Engineering, 18(4), 1790-1802.
12. Du, N., Hu, H., & Zhou, M. (2020). Robust deadlock avoidance and control of automated manufacturing systems with assembly operations using Petri nets. IEEE Transactions on Automation Science and Engineering, 17(4), 1961-1975.
13. Wang, X., & Hu, H. (2019). A robust control approach to automated manufacturing systems combining absorbing and distributing characteristics. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(12), 5024-5036.
14. Yang, B., & Hu, H. (2019). Implementation of generalized mutual exclusion constraints using critical places and marking estimation. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(8), 5067-5079.
15. Fu, Y., Wang, H., Tian, G., Li, Z., & Hu, H. (2019). Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm. Journal of Intelligent Manufacturing, 30(5), 2257-2272.

Profile Details

https://web.xidian.edu.cn/hshu/en/index.html

https://scholar.google.com/citations?user=1zGnMGgAAAAJ&hl=en

https://www.researchgate.net/profile/Hesuan-Hu