|
|
|
|
|
Huaxiang He, Aiqi Chen, Mingwan Yin, Zhenzhen Ma, Jinjun You, Xinmin Xie, Zhizhang Wang and Qiang An
The rational allocation of water resources in the basin/region can be better assisted and performed using a suitable water resources allocation model. Rule-based and optimization-based simulation methods are utilized to solve medium- and long-term water ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sungwon Moon, Seolwon Koo, Yujin Lim and Hyunjin Joo
With recent technological advancements, the commercialization of autonomous vehicles (AVs) is expected to be realized soon. However, it is anticipated that a mixed traffic of AVs and human-driven vehicles (HVs) will persist for a considerable period unti...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sheng Zhang, Yuguang Bai, Youwei Zhang and Dan Zhao
Hypersonic vehicles or engines usually employ complex thermal protecting shells. This sometimes brings multi-physics difficulties, e.g., thermal-aeroelastic problems like panel flutter etc. This paper aims to propose a novel optimization method versus th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhidong Lu, Haichao Hong and Florian Holzapfel
The advancement of electric vertical take-off and landing (eVTOL) aircraft has expanded the horizon of urban air mobility. However, the challenge of generating precise vertical take-off and landing (VTOL) trajectories that comply with airworthiness requi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrea D?Ambrosio and Roberto Furfaro
This paper demonstrates the utilization of Pontryagin Neural Networks (PoNNs) to acquire control strategies for achieving fuel-optimal trajectories. PoNNs, a subtype of Physics-Informed Neural Networks (PINNs), are tailored for solving optimal control pr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yawei Ning, Minglei Ren, Shuai Guo, Guohua Liang, Bin He, Xiaoyang Liu and Rong Tang
Multi-objective reservoir operation of reservoir flood control involves numerous factors and complex model solving, and exploring effective methods for solving the operation models has always been a hot topic in reservoir optimization operation research....
ver más
|
|
|
|
|
|
|
|
|
|
|
Arun Kumar Sangaiah, Amir Javadpour, Chung-Chian Hsu, Anandakumar Haldorai and Ahmad Zeynivand
Vehicular Ad Hoc Network (VANETs) need methods to control traffic caused by a high volume of traffic during day and night, the interaction of vehicles, and pedestrians, vehicle collisions, increasing travel delays, and energy issues. Routing is one of th...
ver más
|
|
|
|
|
|
|
|
|
|
|
Libin Xue and Chunjie Cao
When marine animals and underwater acoustic sensor networks (UASNs) share spectrum resources, problems such as serious harm caused to marine animals by underwater acoustic systems and scarcity of underwater spectrum resources are encountered. To address ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cinthia Peraza, Patricia Ochoa, Oscar Castillo and Patricia Melin
The challenges we face in today?s world are increasingly complex, and effectively managing uncertainty when modeling control problems can yield significant benefits. However, the complexity of these models often leads to higher computational costs. There...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenfeng Xu, Yinghui Li, Binbin Pei and Zhilong Yu
This work develops a morphing decision strategy to optimize the cruising efficiency for a variable-sweep morphing aircraft, and a simple and practical guidance and control system is given as well. They can work in tandem to accomplish a cruise mission ef...
ver más
|
|
|
|
|
|