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Jacopo Beretta, Andres Cardozo, Nicola Paletta, Antonio Chiariello and Marika Belardo
The T-WING project, a CS2-CPW (Clean Sky 2 call for core partner waves) research initiative within FRC IADP (Fast Rotor-Craft Innovative Aircraft Demonstrator Platform), focuses on developing, qualifying and testing the new wing of the Next-Generation Ci...
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Przemyslaw S. Drezek, Slawomir Kubacki and Jerzy Zóltak
The forecasted growth in dynamic global air fleet size in the coming decades, together with the need to introduce disruptive technologies supporting net-zero emission air transport, demands more efficient design and optimization workflows. This research ...
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Manlio Gaudioso, Sona Taheri, Adil M. Bagirov and Napsu Karmitsa
The Bundle Enrichment Method (BEM-DC) is introduced for solving nonsmooth difference of convex (DC) programming problems. The novelty of the method consists of the dynamic management of the bundle. More specifically, a DC model, being the difference of t...
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Yu Han, Xiaolei Ma, Bo Wang, Hongwang Zhang, Qiuxia Zhang and Gang Chen
Nonlinear Model Predictive Control (NMPC) is an effective approach for motion planning in autonomous vehicles that need to satisfy multiple driving demands. Within the realm of planner design, current strategies inadequately address the issues related to...
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Yu Chen, Qi Dong, Xiaozhou Shang, Zhenyu Wu and Jinyu Wang
Unmanned aerial vehicles (UAVs) are important in reconnaissance missions because of their flexibility and convenience. Vitally, UAVs are capable of autonomous navigation, which means they can be used to plan safe paths to target positions in dangerous su...
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Yuxin Zhao, Yanlong Liu and Xiong Deng
The observation path planning of an ocean mobile observation network is an important part of the ocean mobile observation system. With the aim of developing a traditional algorithm to solve the observation path of the mobile observation network, a comple...
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Weiguang Zheng, Quanfu Geng, Xiaohong Xu and Zhixiang Liu
The permanent-magnet synchronous motor (PMSM), with the advantages of low energy consumption and stable operation, is considered a green power source to replace gasoline engines. Motor control is the core problem of the electric-drive system, so it is im...
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Lili Tanti, Syahril Efendi, Maya Silvi Lydia and Herman Mawengkang
Disaster logistics management is vital in planning and organizing humanitarian assistance distribution. The planning problem faces challenges, such as coordinating the allocation and distribution of essential resources while considering the severity of t...
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Christophe Cariou, Laure Moiroux-Arvis, François Pinet and Jean-Pierre Chanet
Evolutionary algorithms have been widely studied in the literature to find sub-optimal solutions to complex problems as the Traveling Salesman Problem (TSP). In such a problem, the target positions are usually static and punctually defined. The objective...
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Xiaoyu Yuan, Chengchang Tong, Guoxiang He and Hongbo Wang
In recent years, the rapid development of artificial intelligence algorithms has promoted the intelligent transformation of the ship industry; unmanned surface vessels (USVs) have become a widely used representative product. The dynamic window approach (...
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