Dear Editors, Terahertz technology has been applied in many fields [1-3]. The protection and restoration of historical relics and cul- tural heritage, which is a new application area of terahertz technology, have been...Dear Editors, Terahertz technology has been applied in many fields [1-3]. The protection and restoration of historical relics and cul- tural heritage, which is a new application area of terahertz technology, have been attracting much attention recently [4,5] because of its social significance and market prospects The most important premise is to obtain information of the cultural relics without damaging them again. Therefore the appropriate non-destructively testing methods are urgently needed in this area. Terahertz （THz） wave bridges the gap between microwave and infrared waves.展开更多
In modern Beyond-Visual-Range(BVR)aerial combat,unmanned loyal wingmen are pivotal,yet their autonomous capabilities are limited.Our study introduces an advanced control algorithm based on hierarchical reinforcement l...In modern Beyond-Visual-Range(BVR)aerial combat,unmanned loyal wingmen are pivotal,yet their autonomous capabilities are limited.Our study introduces an advanced control algorithm based on hierarchical reinforcement learning to enhance these capabilities for critical missions like target search,positioning,and relay guidance.Structured on a dual-layer model,the algorithm’s lower layer manages basic aircraft maneuvers for optimal flight,while the upper layer processes battlefield dynamics,issuing precise navigational commands.This approach enables accurate navigation and effective reconnaissance for lead aircraft.Notably,our Hierarchical Prior-augmented Proximal Policy Optimization(HPE-PPO)algorithm employs a prior-based training,prior-free execution method,accelerating target positioning training and ensuring robust target reacquisition.This paper also improves missile relay guidance and promotes the effective guidance.By integrating this system with a human-piloted lead aircraft,this paper proposes a potent solution for cooperative aerial warfare.Rigorous experiments demonstrate enhanced survivability and efficiency of loyal wingmen,marking a significant contribution to Unmanned Aerial Vehicles(UAV)formation control research.This advancement is poised to drive substantial interest and progress in the related technological fields.展开更多
基金supported by the National Natural Science Foundation of China(Grant Nos.11204191 and 11574408)the National Instrumentation Program(Grant No.2012YQ140005)Beijing Science and Technology Project(Grant No.D151100006015002)
文摘Dear Editors, Terahertz technology has been applied in many fields [1-3]. The protection and restoration of historical relics and cul- tural heritage, which is a new application area of terahertz technology, have been attracting much attention recently [4,5] because of its social significance and market prospects The most important premise is to obtain information of the cultural relics without damaging them again. Therefore the appropriate non-destructively testing methods are urgently needed in this area. Terahertz （THz） wave bridges the gap between microwave and infrared waves.
基金This study was co-supported by the Natural Science Basic Research Program of Shaanxi,China(No.2022JQ-593)the Key R&D Program of Shaanxi Provincial Department of Science and Technology,China(No.2022GY-089)the Aeronautical Science Foundation of China(No.20220013053005).
文摘In modern Beyond-Visual-Range(BVR)aerial combat,unmanned loyal wingmen are pivotal,yet their autonomous capabilities are limited.Our study introduces an advanced control algorithm based on hierarchical reinforcement learning to enhance these capabilities for critical missions like target search,positioning,and relay guidance.Structured on a dual-layer model,the algorithm’s lower layer manages basic aircraft maneuvers for optimal flight,while the upper layer processes battlefield dynamics,issuing precise navigational commands.This approach enables accurate navigation and effective reconnaissance for lead aircraft.Notably,our Hierarchical Prior-augmented Proximal Policy Optimization(HPE-PPO)algorithm employs a prior-based training,prior-free execution method,accelerating target positioning training and ensuring robust target reacquisition.This paper also improves missile relay guidance and promotes the effective guidance.By integrating this system with a human-piloted lead aircraft,this paper proposes a potent solution for cooperative aerial warfare.Rigorous experiments demonstrate enhanced survivability and efficiency of loyal wingmen,marking a significant contribution to Unmanned Aerial Vehicles(UAV)formation control research.This advancement is poised to drive substantial interest and progress in the related technological fields.
