Academic Staff

Area of Specialisation

• Advanced intelligent control for complex and constrained nonlinear systems
• Formation control, fault-tolerant control, and fixed-time/finite-time control
• Dynamic environmental perception and intelligent decision-making technology
• Remote sensing, visual detection, and robotic applications
  
  
  

Short Description

Dr Kang LIU Liu received his PhD in Control Science and Engineering from the University of Science and Technology of China, Hefei, China, in 2022. He is currently a Research Assistant Professor in the Department of Aeronautical and Aviation Engineering at The Hong Kong Polytechnic University. Before becoming a Research Assistant Professor, he worked as a Research Associate at the Department of Computer Science, The University of Sheffield, United Kingdom (from 2022 to 2024), and subsequently as Research Postdoctoral Fellow at the Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong (from 2024 to 2025). He is a member of IEEE, IES, and CAA, and serves on multiple IEEE/RAS Technical Committees.



Selected Journal Publications

1. K. Liu, P. Yang, R. Wang, L. Jiao, T. Li, and J. Zhang, “Observer-based adaptive fuzzy finite-time attitude control for quadrotor UAVs”, IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 6, pp. 8637-8654, Dec. 2023.
2. K. Liu, Y. Wang, Y. Li, Y. Zhang, and C. Y. Wen, “Velocity-free adaptive neural-fuzzy predefined-time attitude control for spacecraft”, IEEE Transactions on Aerospace and Electronic Systems, vol. 61, no. 3, pp. 6354-6372, June 2025.
3. K. Liu, W. Yang, L. Jiao, Z. Yuan. and C. Y. Wen, “Fast fixed-time distributed neural formation control-based disturbance observer for multiple quadrotor UAVs under unknown disturbances”, IEEE Transactions on Aerospace and Electronic Systems, vol. 61, no. 5, pp. 13137-13155, Oct. 2025.
4. K. Liu, P. Yang, L. Jiao, R. Wang, Z. Yuan, and T. Li, “Observer-based adaptive finite-time neural control for constrained nonlinear systems with actuator saturation compensation”, IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 7502516, 2024.
5. K. Liu, Y. Yang, H. Lyu, W. Yang, Y. Zhang, Z. Tan, and C. Y. Wen, “Adaptive predefined-time disturbance observer-based fast nonsingular sliding mode control strategy for consumer quadrotor UAVs: Theory and experiments”, IEEE Transactions on Consumer Electronics, 2025.
6. K. Liu, Y. Wang, H. Ji, and S. Wang, “Adaptive saturated tracking control for spacecraft proximity operations via integral terminal sliding mode technique”, International Journal of Robust and Nonlinear Control, vol. 31, pp. 9372-9396, 2021.
7. K. Liu, R. Wang, X. Wang, and X. Wang, “Anti-saturation adaptive finite-time neural network based fault-tolerant tracking control for a quadrotor UAV with external disturbances”, Aerospace Science and Technology, vol. 115, pp. 106790, 2021.
8. K. Liu, P. Yang, L. Jiao, R. Wang, Z. Yuan, S. Dong, “Antisaturation fixed-time attitude tracking control based low-computation learning for uncertain quadrotor UAVs with external disturbances”, Aerospace Science and Technology, vol. 142, pp. 108668, 2023.
9. W. Yang, K. Liu, T. Zheng, L. -Y. Lo, Y. Wang, K. -H. Wong, and C. Y. Wen, “Hierarchical 3D scene graph based semantic-metric SLAM for plant inspection and fruit counting in intelligent hydroponics system”, IEEE Internet of Things Journal, vol. 12, no. 23, pp. 49071-49082, Dec. 2025.
10. Z. Yuan, K. Liu, R. Peng, S. Li, D. Leybourne, N. Musa, and P. Yang, “PEZEGO: A precision agriculture system based on large language models and internet of things for pest management”, IEEE Internet of Things Journal, vol. 12, no. 23, pp. 49120-49130, Dec. 2025.