supported by the National Natural Science Foundation of China(Nos.12272104,U22B2013).
This paper investigates the challenges associated with Unmanned Aerial Vehicle (UAV) collaborative search and target tracking in dynamic and unknown environments characterized by limited field of view. The primary obj...
co-supported by the Science Center for Gas Turbine Project, China (No. P2022-B-Ⅱ-025-001);the National Science and Technology Major Project, China (No. Y2019-Ⅰ-0018-0017)。
A new thermal protection design method for hypersonic vehicle's leading edge is proposed, which can effectively reduce temperature of the leading edge without additional cooling measures. This method reduces the leadi...
supported in part by the National Natural Science Foundation of China(NSFC)(Nos.62033010,62102134);in part by the Leading talents of science and technology in the Central Plain of China(No.224200510004);in part by the Key R&D projects in Henan Province,China(No.231111222600);in part by the Aeronautical Science Foundation of China(No.2019460T5001);in part by the Scientific and Technological Innovation Talents of Colleges and Universities in Henan Province,China(No.22HASTIT014).
Recently,the Cooperative Training Algorithm(CTA),a well-known Semi-Supervised Learning(SSL)technique,has garnered significant attention in the field of image classification.However,traditional CTA approaches face chal...
In the networking of loitering munitions during a battle,clustering and localizing algorithms become a major problem because of their highly dynamic topological structure,incomplete connectivity,and limited energy.Thi...
supported by National Natural Science Foundation of China(No.52105502);Fund of National Engineering and Research Center for Commercial Aircraft Manufacturing(Nos.COMAC-SFGS-2019-263 and COMAC-SFGS-2019-3731);the Fundamental Research Funds for the Central Universities(No.3042021601).
This study proposed a force and shape collaborative control method that combined method of influence coefficients(MIC)and the elitist nondominated sorting genetic algorithm(NSGA-II)to reduce the shape deviation caused...
supported by the National Natural Science Foundation of China(No.61961146005)。
The advancement of autonomous technology makes electric-powered drones an excellent choice for flexible logistics services at the last mile delivery stage.To reach a balance between green transportation and competitiv...
supported by National Natural Science Foundation of China(U1930207);Key Project of National Natural Science Foundation of China(51790171);National Natural Science Foundation of China for Excellent Young Scholars(11722219);National Natural Science Foundation of China for Young Scholars(51905439);111 Project(B21013)。
High-resolution laser additive manufacturing(LAM)significantly releases design free-dom,promoting the development of topology optimization(TO)and advancing structural design methods.In order to fully take advantage of...
supported by the National Key R&D Program of China(No.:2019YFB1803400);the National Natural Science Foundation of China(Nos.NSFC 61925105,61801260 and U1633121);the Fundamental Research Funds for the Central Universities,China(No.FRF-NP-2003);supported by Tsinghua University-China Mobile Communications Group Co.,Ltd.Joint Institute。
Widespread deployment of the Internet of Things(Io T)has changed the way that network services are developed,deployed,and operated.Most onboard advanced Io T devices are equipped with visual sensors that form the so-c...
partially supported by the Brazilian National Council for Scientific and Technological Development(CNPq Grant No.304903/2013-2)
The problem of capacity shortage in some airports needs to be dealt with sustainable solutions including a more efficient use of the existing runway slots at the airports. The Collaborative Decision Making(CDM) is a...
National Natural Science Foundation of China (10377015)
A new method, Collaborative Allocation (CA), is proposed to solve the large-scale optimum allocation problem in aircraft conceptual design. According to the characteristics of optimum allocation in aircraft conceptu...