Publications | Zhou Ye
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)
- 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. 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, 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
- 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.