Publications

Selected Publications

Y. Zhou*, Efficient Online Globalized Dual Heuristic Programming with an Associated Dual Network, IEEE Transactions on Neural Networks and Learning Systems, online, 2023. (Link)
Y. Feng, Y. Zhou*, H. W. Ho, Performance-guaranteed quadrotor control with incremental adaptive dynamic programming and disturbance compensation, Engineering Applications of Artificial Intelligence, 163, 2026. (link)
D. Low, Y. Zhou*, Cooperative multi-agent reinforcement learning for robotic systems: A review, Multiagent and Grid Systems, 2025. (link)
Y. Feng, Y. Zhou*, H. W. Ho, N. A. Mat Isa, Reinforcement learning control with function approximation via multivariate simplex splines, International Journal of Adaptive Control and Signal Processing, 2025. (Link)
Y. Feng, Y. Zhou*, H.W. Ho, H. Dong, X. Zhao, Online adaptive critic designs with tensor product B-splines and incremental model techniques, Journal of the Franklin Institute, 2024. (link)
H.W. Ho, Y. Zhou*, Y. Feng, GCHE de Croon, Optical flow-based control for micro air vehicles: an efficient data-driven incremental nonlinear dynamic inversion approach, Autonomous Robots, 48 (8), 2024. (link)
Y. Feng, Y. Zhou*, H. W. Ho, Reinforcement learning based robust tracking control for unmanned helicopter with state constraints and input saturation, Aerospace Science and Technology, 155, 2024. (link)
H. W. Ho, Y. Zhou*, Incremental Nonlinear Dynamic Inversion based Optical Flow Control for Flying Robots: An Efficient Data-driven Approach, in Robotics: Science and Systems, 2023 (RSS 2023) (Daegu, Republic of Korea, 2023). (Link)
Y. Zhou, H.W. Ho, Online robot guidance and navigation in non-stationary environment with hybrid Hierarchical Reinforcement Learning, Engineering Applications of Artificial Intelligence, 114, 2022. (Link)
Y. Zhou, H. W. Ho, Q. Chu, Extended Incremental nonlinear dynamic inversion for optical flow control of micro air vehicles, Aerospace Science and Technology, 106889, 2021. (Link)
Y. Zhou, E. van Kampen, and Q. P. Chu, Incremental model based online heuristic dynamic programming for nonlinear adaptive tracking control with partial observability, Aerospace Science and Technology, 105, 2020. (Link)
Y. Zhou, E. van Kampen, and Q. P. Chu, Hybrid Hierarchical Reinforcement Learning for online guidance and navigation with partial observability, Neurocomputing, 331, p. 443-457, 2019 Feb 28. (Link)
Y. Zhou, E. van Kampen, and Q. P. Chu, Incremental approximate dynamic programming for nonlinear adaptive tracking control with partial observability, Journal of Guidance, Control, and Dynamics, 41(12), p.2554-2567, 2018. (Link)
Y. Zhou, E. van Kampen, and Q. P. Chu, Incremental model based online dual heuristic programming for nonlinear adaptive control, Control Engineering Practice, Vol. 73, p. 13-25, 2018. (Link)
Y. Zhou, E. van Kampen, Q. P. Chu. Nonlinear Adaptive Flight Control Using Incremental Approximate Dynamic Programming and Output Feedback, Journal of Guidance, Control, and Dynamics, Vol. 40, No. 2, p. 493-500, 2017. (Link)

Other Publications

W. Kuang, H.W. Ho*, Y. Zhou, S.A. Suandi, ForaNav: Insect-Inspired Online Target-Oriented Navigation for MAVs in Tree Plantations, IEEE Robotics and Automation Letters, 2025.
W. Kuang, H.W. Ho*, Y. Zhou, CPP-DIP: Multi-objective Coverage Path Planning for MAVs in Dispersed and Irregular Plantations, Robotics and Autonomous Systems, 2025.
A. Li, Y. Zhou, W. Kuang, H.W. Ho*, Acoustic-enhanced local bearing estimation using low-cost microphones for Micro Air Vehicle swarms, Biomimetic Intelligence and Robotics, 2025.
Ye Zhou*, Hann Woei Ho, Data-Driven Incremental Approximate Dynamic Programming for Optical Flow Landing Control, IEEE International Conference on Recent Advances in Systems Science and Engineering (RASSE), (Singapore, 2025).
W Kuang, H.W. Ho*, Y Zhou, SA Suandi, F Ismail, A comprehensive review on tree detection methods using point cloud and aerial imagery from unmanned aerial vehicles, Computers and Electronics in Agriculture, 227, 2024.
W. Hu, Y. Zhou*, H. W. Ho, C. Zhang, Double Critics and Double Actors Deep Deterministic Policy Gradient for Mobile Robot Navigation using Adaptive Parameter Space Noise and Parallel Experience Replay, IEEE Access, 2024.
Hann Woei Ho, Ye Zhou*, Frontal Target Approaching and Height Control of Micro Air Vehicles using Multi-perspective Optical Flow Observables, IEEE 20th International Conference on Automation Science and Engineering (CASE), (Bari, Italy, 2024).
H． Jiang, Y. Zhou*, H. W. Ho, Elmi Abu Bakar, Modeling of two-stroke aviation piston engines for control applications, Advances in Mechanical Engineering, 2023. (Link)
H． Jiang, Y. Zhou*, H. W. Ho. Aerodynamic design and evaluation of a ducted fan lift system for vertical takeoff and landing flying cars, Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, 2022. (Link)
J. Chen, X. Lan, Y. Zhou, J. Liang. Formation Control with Connectivity Assurance for Missile Swarms by a Natural Co-Evolutionary Strategy, Mathematics, 10(22), 2022.
H. Y. Lee, H. W. Ho, Y. Zhou, Deep learning-based monocular obstacle avoidance for unmanned aerial vehicle navigation in tree plantations, Journal of Intelligent and Robotic Systems, 101(1):1-18, 2021. (Link)
Pedro Miguel Dias, Ye Zhou, Erik-Jan Van Kampen, Intelligent Nonlinear Adaptive Flight Control using Incremental Approximate Dynamic Programming, AIAA Scitech 2019 Forum, (San Diego, California, 2019) (AIAA 2019-2339). (Link)
Y. Zhou, E. van Kampen, and Q. P. Chu, Adaptive spacecraft attitude control with incremental approximate dynamic programming, in 68th International Astronautical Congress (IAC), Adelaide, Australia, 2017.
Y. Zhou, E. van Kampen, and Q. P. Chu, Launch vehicle adaptive flight control with incremental model based heuristic dynamic programming, in 68th International Astronautical Congress (IAC), Adelaide, Australia, 2017.
Y. Zhou, E. van Kampen, and Q. P. Chu, Incremental model based heuristic dynamic programming for nonlinear adaptive flight control, International micro air vehicle competition and conference 2016, Beijing, China, 2016, pp. 173-180.
Y. Zhou, E. van Kampen, and Q. P. Chu, Autonomous navigation in partially observable environments using hierarchical q-learning, International micro air vehicle competition and conference 2016, Beijing, China, 2016, pp. 70-76.
Y. Zhou, E. van Kampen, and Q. P. Chu. An incremental approximate dynamic programming flight controller based on output feedback, AIAA Guidance, Navigation, and Control Conference (San Diego, California, USA, 2016) (AIAA 2016-0360). (Link)
J. Junell, T. Mannucci, Y. Zhou, and E. van Kampen, Self-tuning Gains of a Quadrotor using a Simple Model for Policy Gradient Reinforcement Learning, AIAA Guidance, Navigation, and Control Conference (San Diego, California, USA, 2016) (AIAA 2016-1387). (Link)
Y. Zhou, E. van Kampen, Q. P. Chu. Incremental Approximate Dynamic Programming for Nonlinear Flight Control Design, Proceedings of the 3rd CEAS EuroGNC: Specialist Conference on Guidance, Navigation and Control, Toulouse, France, 13-15 April 2015.
Y. Zhou, S. Yu, J. Chu. Research on Semantic-driven Intelligent Color Design based on Dynamic Fuzzy Neural Network, Computer Engineering and Application, 50 (3), 2014, in Chinese.
Y. Zhou, W. Zhang, B. Li, et al. A coherent assessment of visual ergonomics in flight deck impacted by color and luminance, In: Harris D. (eds) Engineering Psychology and Cognitive Ergonomics. Applications and Services. EPCE 2013. Lecture Notes in Computer Science, vol 8020. Springer, Berlin, Heidelberg. 222-230. (Link)
Z. Ma, W. Zhang, Y. Zhou, et al. The Glare Evaluation Method Using Digital Camera for Civil Airplane Flight Deck, In: Harris D. (eds) Engineering Psychology and Cognitive Ergonomics. Applications and Services. EPCE 2013. Lecture Notes in Computer Science, vol 8020. Springer, Berlin, Heidelberg. 184-192. (Link)
B. Gou, Y. Zhou*, S. Yu, et al. Research on Semantic-driven Intelligent Color Design based on DNN, International Proceedings of Computer Science and Information Technology, IPCSIT 13, Sep. 2011.