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Minimum-energy switching geometric filter on lie groups for differential-drive wheeled mobile robots
Accurate state estimation plays a critical role in various applications, such as tracking,
regulation, and fault detection in robotic and mechanical systems. Typically, the Kalman …
regulation, and fault detection in robotic and mechanical systems. Typically, the Kalman …
[PDF][PDF] Research on Maneuver Decision of Unmanned Combat Aerial Vehicles Based on Segmented Reward Function and Improved Deep Q-Network
J Ruan, Y Qin, F Wang, J Huang, F Wang, F Guo, Y Hu - scitepress.org
Intelligent air combat is the main trend in the future, and the maneuvering decision-making
ability of Unmanned combat aerial vehicles (UCAVs) affects the win-lose ending of the air …
ability of Unmanned combat aerial vehicles (UCAVs) affects the win-lose ending of the air …
Traffic signal timing method based on deep reinforcement learning and extended Kalman filter
L WU, Y WU, F KONG, B LI - 北京航空航天大学学报, 2021 - bhxb.buaa.edu.cn
The deep Q-learning network (DQN) has become an effective method to solve the traffic
signal timing problem because of its strong perception and decision-making ability …
signal timing problem because of its strong perception and decision-making ability …