Следене
Tao Yan
Tao Yan
Research Associate, Loughborough University
Потвърден имейл адрес: lboro.ac.uk
Заглавие
Позовавания
Позовавания
Година
Consensus formation tracking for multiple AUV systems using distributed bioinspired sliding mode control
T Yan, Z Xu, SX Yang
IEEE Transactions on Intelligent Vehicles 8 (2), 1081-1092, 2022
622022
Bio-inspired intelligence with applications to robotics: a survey
J Li, Z Xu, D Zhu, K Dong, T Yan, Z Zeng, SX Yang
arXiv preprint arXiv:2206.08544, 2022
362022
Distributed leader follower formation control of mobile robots based on bioinspired neural dynamics and adaptive sliding innovation filter
Z Xu, T Yan, SX Yang, SA Gadsden
IEEE Transactions on Industrial Informatics 20 (2), 1180-1189, 2023
152023
Formation control of multiple autonomous underwater vehicles: A review
T Yan, Z Xu, SX Yang, SA Gadsden
Intelligence & Robotics 3 (1), 1-22, 2023
132023
Distributed robust learning-based backstepping control aided with neurodynamics for consensus formation tracking of underwater vessels
T Yan, Z Xu, SX Yang
IEEE Transactions on Cybernetics 54 (4), 2434-2445, 2023
92023
Distributed neurodynamics-based backstepping optimal control for robust constrained consensus of underactuated underwater vehicles fleet
T Yan, Z Xu, SX Yang, SA Gadsden
IEEE Transactions on Cybernetics 54 (8), 4666-4677, 2023
72023
Learning-enabled output-feedback-MPC-based synchronization tracking control of multiaxis motion systems
YW Wang, T Yan, WA Zhang, M Wu, C Lu
IEEE Transactions on Industrial Electronics 70 (7), 7216-7224, 2022
62022
Bioinspired backstepping sliding mode control and adaptive sliding innovation filter of quadrotor unmanned aerial vehicles
Z Xu, T Yan, SX Yang, SA Gadsden
Biomimetic Intelligence and Robotics 3 (3), 100116, 2023
52023
Motion planning and tracking control of unmanned underwater vehicles: technologies, challenges and prospects
D Zhu, T Yan, SX Yang
arXiv preprint arXiv:2207.04360, 2022
52022
A hybrid tracking control strategy for an unmanned underwater vehicle aided with bioinspired neural dynamics
Z Xu, T Yan, SX Yang, SA Gadsden
IET Cyber‐Systems and Robotics 4 (3), 153-162, 2022
42022
Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics
Z Xu, T Yan, SX Yang, SA Gadsden, M Biglarbegian
IEEE Transactions on Intelligent Vehicles, 2024
12024
Robust and Intelligent Formation Control of Autonomous Underwater Vehicle Fleets
T Yan
University of Guelph, 2024
2024
Biomimetic Intelligence and Robotics
Z Su, H Yao, J Peng, Z Liao, Z Wang, H Yu, H Dai, TC Lueth
2023
Motion planning and tracking control of unmanned un-derwatervehicles: technologies, challenges andprospects
D Zhu, T Yan, SX Yang
2022
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–14