With the expanding applications of unmanned aerial vehicles(UAVs),precise flight evaluation has emerged as a critical enabler for efficient path planning,directly impacting operational performance and safety.Tradition...With the expanding applications of unmanned aerial vehicles(UAVs),precise flight evaluation has emerged as a critical enabler for efficient path planning,directly impacting operational performance and safety.Traditional path planning algorithms typically combine Dubins curves with local optimization to minimize trajectory length under 3D spatial constraints.However,these methods often overlook the correlation between pilot control quality and UAV flight dynamics,limiting their adaptability in complex scenarios.In this paper,we propose an intelligent flight evaluation model specifically designed to enhancemulti-waypoint trajectory optimization algorithms.Our model leverages a decision tree to integrate attitude parameters and trajectory matching metrics,establishing a quantitative link between pilot control quality and UAV flight states.Experimental results demonstrate that the proposed model not only accurately assesses pilot performance across diverse skill levels but also improves the optimality of generated trajectories.When integrated with our path planning algorithm,it efficiently produces optimal trajectories while strictly adhering to UAV flight constraints.This integrated framework highlights significant potential for real-time UAV training,performance assessment,and adaptive mission planning applications.展开更多
This study extends the multi-asset model of Huang et al.(2017),who examine only two types of investors,by adding a new investor type with partial information on the correlation coefficient and re-explores the limited ...This study extends the multi-asset model of Huang et al.(2017),who examine only two types of investors,by adding a new investor type with partial information on the correlation coefficient and re-explores the limited participation phenomenon under correlation ambiguity.We investigate whether asset allocations depend on incomplete information under market equilibrium—specifically,whether investors with less information might hold greater equilibrium positions than investors with more information.We find that,as the true correlation coefficient(and the maximum correlation coefficient for ambiguity-averse investors)increases and asset quality increases,investors with less information escape from low-to high-quality assets,thus exhibiting a flight-to-quality trading pattern in equilibrium.展开更多
基金funded in part by the Fundamental Research Funds for the Central Universities under Grant NS2023052in part by the Natural Science Foundation of Jiangsu Province of China under Grants No.BK20231439 and No.BK20222012.
文摘With the expanding applications of unmanned aerial vehicles(UAVs),precise flight evaluation has emerged as a critical enabler for efficient path planning,directly impacting operational performance and safety.Traditional path planning algorithms typically combine Dubins curves with local optimization to minimize trajectory length under 3D spatial constraints.However,these methods often overlook the correlation between pilot control quality and UAV flight dynamics,limiting their adaptability in complex scenarios.In this paper,we propose an intelligent flight evaluation model specifically designed to enhancemulti-waypoint trajectory optimization algorithms.Our model leverages a decision tree to integrate attitude parameters and trajectory matching metrics,establishing a quantitative link between pilot control quality and UAV flight states.Experimental results demonstrate that the proposed model not only accurately assesses pilot performance across diverse skill levels but also improves the optimality of generated trajectories.When integrated with our path planning algorithm,it efficiently produces optimal trajectories while strictly adhering to UAV flight constraints.This integrated framework highlights significant potential for real-time UAV training,performance assessment,and adaptive mission planning applications.
基金National Natural Science Foundation of China(NSFC Grant Numbers:71773123 and 72173125).
文摘This study extends the multi-asset model of Huang et al.(2017),who examine only two types of investors,by adding a new investor type with partial information on the correlation coefficient and re-explores the limited participation phenomenon under correlation ambiguity.We investigate whether asset allocations depend on incomplete information under market equilibrium—specifically,whether investors with less information might hold greater equilibrium positions than investors with more information.We find that,as the true correlation coefficient(and the maximum correlation coefficient for ambiguity-averse investors)increases and asset quality increases,investors with less information escape from low-to high-quality assets,thus exhibiting a flight-to-quality trading pattern in equilibrium.
