Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Yangang, Liang"'
Autor:
Juran Noh, Hieu A. Doan, Heather Job, Lily A. Robertson, Lu Zhang, Rajeev S. Assary, Karl Mueller, Vijayakumar Murugesan, Yangang Liang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Solubility of redox-active molecules is an important determining factor of the energy density in redox flow batteries. However, the advancement of electrolyte materials discovery has been constrained by the absence of extensive experimental
Externí odkaz:
https://doaj.org/article/fd45edcb420c4dc2b962cc3f6869db9c
Publikováno v:
Drones, Vol 8, Iss 8, p 384 (2024)
Cluster warfare, as a disruptive technology, leverages its numerical advantage to overcome limitations such as restricted task execution types and the low resilience of single platforms, embodying a significant trend in future unmanned combat. In sce
Externí odkaz:
https://doaj.org/article/f4e450d4afde4174b18d7c662bfcbb19
In this paper, some new results on time-varying missile against a stationary target using pure proportional navigation (PPN) are developed in the planar interception problem. First, the relative motion equation is established in arc-length domain bas
Externí odkaz:
http://arxiv.org/abs/2110.10433
Autor:
Juran Noh, Hieu A. Doan, Heather Job, Lily A. Robertson, Lu Zhang, Rajeev S. Assary, Karl Mueller, Vijayakumar Murugesan, Yangang Liang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/df7fbfd7a6fe49e2b730ada76262c73c
Publikováno v:
Drones, Vol 8, Iss 2, p 60 (2024)
Traditional unmanned aerial vehicle path planning methods focus on addressing planning issues in static scenes, struggle to balance optimality and real-time performance, and are prone to local optima. In this paper, we propose an improved deep reinfo
Externí odkaz:
https://doaj.org/article/e8840da430944f108ac4479728de7d7f
Publikováno v:
International Journal of Aerospace Engineering, Vol 2023 (2023)
A novel homing guidance law against maneuvering targets based on the deep deterministic policy gradient (DDPG) is proposed. The proposed guidance law directly maps the engagement state information to the acceleration of the interceptor, which is an e
Externí odkaz:
https://doaj.org/article/2ce215662582498d96560697d6baab7e
Publikováno v:
Drones, Vol 7, Iss 6, p 369 (2023)
To improve the autonomous flight capability of endo-atmospheric flight vehicles, such as cruise missiles, drones, and other small, low-cost unmanned aerial vehicles (UAVs), a novel minimum-effort waypoint-following differential geometric guidance law
Externí odkaz:
https://doaj.org/article/be56f66a312548b088d3dc063b13c65c
Autor:
Hyung-Seok Lim, Sujong Chae, Litao Yan, Guosheng Li, Ruozhu Feng, Yongsoon Shin, Zimin Nie, Bhuvaneswari Modachur Sivakumar, Xin Zhang, Yangang Liang, David Jonathan Bazak, Vaithiyalingam Shutthanandan, Vijayakumar Murugesan, Soowhan Kim, Wei Wang
Publikováno v:
Energy Material Advances, Vol 2022 (2022)
Redox flow batteries are considered a promising technology for grid energy storage. However, capacity decay caused by crossover of active materials is a universal challenge for many flow battery systems, which are based on various chemistries. In thi
Externí odkaz:
https://doaj.org/article/e018bb5859b2470f88cd186a07f931d8
Publikováno v:
International Journal of Aerospace Engineering, Vol 2022 (2022)
A homing guidance law for exoatmospheric interceptor based on the Deep Q Network (DQN) algorithm is proposed in this paper. Aiming at the exoatmospheric interception problem, the guidance agent is built with the help of the deep reinforcement learnin
Externí odkaz:
https://doaj.org/article/dca596acd0414b2db977e1a2da3f49bb
Publikováno v:
SCIENTIA SINICA Technologica. 53:565-575