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Shiva Raj Pokhrel, Jonathan Kua, Deol Satish, Sebnem Ozer, Jeff Howe and Anwar Walid
We introduce a novel multipath data transport approach at the transport layer referred to as ?Deep Deterministic Policy Gradient for Multipath Performance-oriented Congestion Control? (DDPG-MPCC), which leverages deep reinforcement learning to enhance co...
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Zhe Liu, Jie Yan, Bangcheng Ai, Yonghua Fan, Kai Luo, Guodong Cai and Jiankai Qin
This paper presents a deep neural network-based online trajectory generation method for the aerodynamic characteristic description and terminal-area energy management of wave-rider aircrafts. First, the flight dynamics equations in the energy domain are ...
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Rongjun Mu, Yanpeng Deng and Peng Wu
In this paper, a novel guidance algorithm based on adaptive convex optimization is proposed to ensure robustness in the uncertainty of a lunar lander?s parameters and satisfy the constraints of terminal position, velocity, attitude, and thrust. To addres...
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Zhiqiang Dai, Gaochao Xu, Ziqi Liu, Jiaqi Ge and Wei Wang
Unmanned aerial vehicles (UAVs) have the characteristics of portability, safety, and strong adaptability. In the case of a maritime disaster, they can be used for personnel search and rescue, real-time monitoring, and disaster assessment. However, the po...
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Dimitris Fotakis, Loukas Kavouras and Lydia Zakynthinou
The Dynamic Facility Location problem is a generalization of the classic Facility Location problem, in which the distance metric between clients and facilities changes over time. Such metrics that develop as a function of time are usually called ?evolvin...
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Su Zhao, Gang Huang and Qi Zhu
For an energy-harvesting wireless transmission system, considering that a transmitter which can harvest energy from nature has two kinds of extra energy consumption, circuit consumption and storage losses, the optimization models are set up in this paper...
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