Dr Long Teng 滕龍 Research Assistant Professor

Location FJ411
Phone +852 2766 4183
mail eric-long.teng@polyu.edu.hk

Open Platform for University Scholars
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Brief BiosketchDr Long Teng received the B.Eng. degree in Automation from China Jiliang University, Hangzhou, China, in 2010, the M.Eng. degree in Robotics from Beihang University, Beijing, China, in 2013, and the Ph.D. degree in Control Engineering from Nanyang Technological University, Singapore, in 2018. From Aug. 2017 to Sept. 2018, he worked with Singapore Technology Engineering (Electronics, Satellite Systems) in Singapore and a startup for rehabilitation robotics in Shenzhen, China, respectively. From Oct. 2018 to Oct. 2020, he was a postdoc with the Department of Materials and Production, Aalborg University, Aalborg, Denmark. He is currently a Research Assistant Professor in the Department of Industrial and Systems Engineering (ISE) at The Hong Kong Polytechnic University.
Research Interests Robotics, bio-inspired robots, wearable assistive robots;
Control systems theory and applications to robots;
Artificial intelligence with applications to robots and control.
Book Chapter L. Teng,Y. Wang, and W. Cai, “Fuzzy model predictive control of discrete systems with time-varying delay,” Control Strategy for Time-Delay Systems, Academic Press, Elsevier (invited book chapter).
Journal Publications L. Teng, M. A. Gull, S. Bai, “PD based fuzzy sliding mode control for wheelchair exoskeleton robot,” IEEE/ASME Transactions on Mechatronics, vol. 25, no. 5, pp. 2546-2555, 2020.
L. Teng, Y. Wang, W. Cai, and H. Li, “Efficient robust fuzzy model predictive control of discrete nonlinear time-delay systems via Razumikhin approach,” IEEE Transactions on Fuzzy Systems, vol. 27, no. 2, pp. 262-272, 2019.
L. Teng, Y. Wang, W. Cai, and H. Li, “Robust fuzzy model predictive control of discrete-time Takagi-Sugeno systems with nonlinear local models,” IEEE Transactions on Fuzzy Systems, vol. 26, no. 5, pp. 2915-2925, 2018.
L. Teng, Y. Wang, W. Cai, and H. Li, “Fuzzy model predictive control of discrete-time systems with time-varying delay and disturbances,” IEEE Transactions on Fuzzy Systems, vol. 26, no. 3, pp. 1192-1206, 2018.
L. Teng, Y. Wang, W. Cai, and H. Li, “Robust model predictive control of discrete nonlinear systems with time delays and disturbances via T-S fuzzy approach,” Journal of Process Control, vol. 53, pp. 70-79, 2017.
X. Wu,L. Teng, W. Chen, G. Ren, Y. Jin, and H. Li, “CPGs with continuous adjustment of phase difference for locomotion control,” International Journal of Advanced Robotic Systems, vol. 10, no. 6, 2013.
Conference Papers L. Teng, S. Bai, “Fuzzy sliding mode control of a wheelchair exoskeleton robot,” 2019 IEEE International Conference on Cybernetics and Intelligent Systems and IEEE International Conference on Robotics, Automation and Mechatronics (CIS-RAM), 2019.
L. Teng, Y. Wang, W. Cai, and H. Li, “Decentralized robust fuzzy controller with nonlinear local models for large-scale interconnected systems,” 13th IEEE International Conference on Control and Automation (ICCA), 2017.
L. Teng, H. Yang, and Y. Wang, “Model reference tracking control of linear motor with dead-zone via switched systems subjected to time-varying delay,” in 42nd Annual Conference of the IEEE Industrial Electronics Society (IECON), 2016.
L. Teng, Y. Wang, W. Cai, and H. Li, “Robust model predictive control for discrete T-S fuzzy systems with nonlinear local models,” in 12th IEEE International Conference on Control and Automation (ICCA), 2016.
L. Teng, Y. Wang, W. Cai, and H. Li, “Model predictive control of discrete T-S fuzzy systems with time-varying delay,” in 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016.
L. Teng, Y. Wang, C. Chen, W. Cai, and H. Li, “Application of T-S fuzzy controllers on an HVAC system,” in 7th International Conference on Information and Automation for Sustainability (ICIAFS), 2014.
L. Teng, X. Wu, W. Chen, and J. Wang, “Center of gravity balance approach based on CPG algorithm for locomotion control of a quadruped robot,” in IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013.
L. Teng, X. Wu, W. Chen, and J. Wang, “Central pattern generators of adaptive frequency for locomotion control of quadruped robots,” in 10th IEEE International Conference on Industrial Informatics (INDIN), 2012.