Research field

Liu Yang Personal Profile

Liu Yang, Member of the Party Committee of Zhejiang Normal University, Director of the Human Resources Department, Director of the Zhejiang Provincial International Cooperation Base for Intelligent Control and Artificial Intelligence, Professor and Doctoral Supervisor at the School of Mathematical Sciences. He previously served as the Founding Dean of the Hangzhou College of Automation (Hangzhou College of Artificial Intelligence).

He has been selected as a National Leading Talent (supported by the Ministry of Education), IET Fellow, Elsevier Highly Cited Chinese Researcher, Advanced Individual for Post Performance in the "Three Educations" Initiative of Zhejiang Province, Outstanding Teacher of Zhejiang Province, Recipient of the "My Favorite Teacher" Award at Zhejiang Normal University, and Grantee of the Zhejiang Provincial Youth Elite Program (with rolling funding).

He serves as a member of the IEEE CSS CEB, editorial board member of Control and Decision, and editorial board member of five SCI academic journals. In recent years, he has published more than 100 papers in journals including SIAM Journal on Control and Optimization, Automatica, IEEE Transactions series, and Science China, and authored 3 monographs. He has presided over 4 National Natural Science Foundation projects, more than 10 provincial and ministerial-level teaching and research projects (including one Zhejiang Provincial Outstanding Youth Fund project with extended funding), and one major enterprise-commissioned project. His research achievements have won the China Industry-University-Research Cooperation Innovation Achievement Award and the Zhejiang Provincial Natural Science Award.

Students with solid academic foundations in mathematics, computer science, low-altitude technology and engineering, and proficient English skills are welcome to apply for master’s and doctoral programs, as well as postdoctoral positions in his research group.

Research Group Overview

Professor Liu Yang’s research team focuses on networked control and optimization, control of unmanned systems, and mathematical theories and applications in artificial intelligence. Core team members are listed as follows:

1. Professor Xiao Min

2. Professor Zhong Jie

3. Professor Jia Riheng

4. Associate Professor Tang Changbing

5. Distinguished Professor Jiang Bangxin

6. Dr. Yerudkar Amol Kerba

Selected Representative Publications

1. Predefined-Time Formation Control for Various Heterogeneous Unmanned Systems, IEEE Transactions on Intelligent Transportation Systems, 2026.

2. Fixed-Time Stability for Nonlinear Systems with Large Delayed Impulses: Delayed Impulsive Sequence Decomposition, SIAM Journal on Control and Optimization, 2025.

3. Practical Prescribed-Time Distributed Non-convex Optimization via a Time-Base Generator, SIAM Journal on Control and Optimization, 2025.

4. Two-timescale Distributed Approach to Nash Equilibrium Seeking of Euler-Lagrange Systems in Multi-cluster Nonconvex Games, IEEE Transactions on Automatic Control, 2025.

5. Remote secure fusion estimation of cyber-physical systems under false data injection attacks, Automatica, 2025.

6. Momentum-based Multi-agent Approaches to Distributed Nonconvex Optimization, IEEE Transactions on Automatic Control, 2024.

7. Improved Criteria for Controllability of Markovian Jump Boolean Control Networks with Time-Varying State Delays, IEEE Transactions on Automatic Control, 2024.

8. Multi/Single-stage sliding manifold approaches for prescribed-time distributed optimization, IEEE Transactions on Automatic Control, 2024.

9. Stabilizing logical networks with stochastic state-heritable control: a Markovian sampling method, SIAM Journal on Control and Optimization, 2024.

10. Multi-Objective Distributed Optimization via A Predefined-Time Multi-Agent Approach, IEEE Transactions on Automatic Control, 2023.

11. Stability of stochastic time-delay systems involving delayed impulses, Automatica, 2023.

12. On Exact Embedding Framework for Optimal Control of Markov Decision Processes, IEEE Transactions on Automatic Control, 2023.

13. Opacity Enforcement via Greedy Privately-and-Publicly Known Insertion Functions, IEEE Transactions on Automatic Control, 2023.

14. Stabilization of Probabilistic Boolean Networks via State-Flipped Control and Reinforcement Learning, IEEE Transactions on Automatic Control, 2023.

15. Stability of time-delay systems with delayed impulses: average impulsive estimation approach, SIAM Journal on Control and Optimization, 2022.

16. Asymptotical Stabilization for Probabilistic Boolean Control Networks under Operators and Inputs Constraints, IEEE Transactions on Automatic Control, 2022.

17. Sensors Design of Large-Scale Boolean Networks via Pinning Observability, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2021.3110165, 2022.

18. Pinning Control for Stabilization of Boolean Networks under Knock-out Perturbation, IEEE Transactions on Automatic Control, 67:1550-1557, 2022.

19. Asymptotical Stability and Stabilization of Continuous-time Probabilistic Logic Networks, IEEE Transactions on Automatic Control, 67: 279-291, 2022.

20. Categorization Problem on Controllability of Boolean Control Networks, IEEE Transactions on Automatic Control, 66:2297-2303, 2021.

21. Pinning control for the disturbance decoupling problem of Boolean Networks, IEEE Transactions on Automatic Control, 62(12):6595-6601, 2017.

22. Further results on the controllability of Boolean control networks, IEEE Transactions on Automatic Control, 64(1):440-442, 2019.

23. Exponential stability of delayed systems with average-delay impulses, SIAM Journal on Control and Optimization, 58(6), 3763-3784, 2021.

24. Stabilization of Boolean Control Networks Under Aperiodic Sampled-Data Control, SIAM Journal on Control and Optimization, DOI: 10.1137/18M1169308, 2018.

25. On the optimal control of Boolean control Networks, SIAM Journal on Control and Optimization, 56(2):1321-1341, 2018.

26. The transformation between the Galois NLFSRs and the Fibonacci NLFSRs via semi-tensor product of matrices, Automatica, DOI: 10.1016/j.automatica.2018.07.011, 2018.

27. Function perturbations on singular Boolean networks, Automatica, 84:36-42, 2017.

28. Controllability of probabilistic Boolean control networks based on transition probability matrix, Automatica, 52:340-345, 2015.

29. On Algorithms for State Feedback Stabilization of Boolean Control Networks, Automatica, DOI: 10.1016/j.automatica.2017.06.040, 2015.

30. Controllability for a Class of Linear Time-Varying Impulsive Systems With Time Delay in Control Input, IEEE Transactions on Automatic Control, DOI: 10.1109/TAC.2010.2088811, 2011.

Student Supervision Achievements

1. Two of his supervised alumni have been awarded the National Overseas Outstanding Youth Fund. He has supervised 41 master’s graduates (20 of whom pursued doctoral studies), 3 PhD graduates, and 7 postdoctoral researchers who have completed their appointments. His graduate students have won 4 Zhejiang Provincial Excellent Master’s Thesis Awards, 2 Chinese Association of Automation Excellent Master’s Thesis Awards, and 3 University Top Ten Academic Star Awards for Postgraduates.

2. He has supervised theses winning two major awards including the World Chinese Mathematicians Congress Thesis Award and the New World Mathematics Award. He has guided undergraduates to launch more than 10 national-level College Students’ Innovation and Entrepreneurship Training Programs.

3. He has established two innovation platforms: the "Intelligent Unmanned Systems" Lixin Workshop and the "Networked Control and Optimization" Innovation Studio. Undergraduate, master’s and doctoral students with relevant research interests are welcome to join.