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Weilin Yang, Tianjing Shen, Tinglong Pan, Guanyang Hu and Dezhi Xu
In this paper, the consensus control of unmanned surface vehicles (USVs) is investigated by employing a distributed model predictive control approach. A hierarchical control structure is considered during the controller design, where the upper layer dete...
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Juan Li, Zhenyang Tian, Gengshi Zhang and Wenbo Li
For the problem of hydroacoustic communication constraints in multi-AUV leader follower formation, this paper designs a formation control method combining CNN-LSTM prediction and backstepping sliding mode control. First, a feedback linearization method i...
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Yingxue Zhang, Meng Chen, Jinbao Chen, Chuanzhi Chen, Hongzhi Yu, Yunxiao Zhang and Xiaokang Deng
Distributed time-varying formation technology for multi-agent systems is recently become a research hotspot in formation control field. However, the formation reconfiguration control technology for agents that randomly appeared to fail during maneuvers i...
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Nida Zamir, Bakhtiar Ali, Muhammad Fasih Uddin Butt, Muhammad Awais Javed, Byung Moo Lee and Soon Xin Ng
In this contribution, we investigate the performance of an untrusted relaying system when Cooperative Jammers (CJs) are available. We propose two scenarios, Untrusted Relaying-aided Multiple Cooperative-Jammers-based Simultaneous Transmission (UR-MCJST) ...
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Helong Shen, Yong Yin and Xiaobin Qian
In this paper, under parametric uncertainties and complex disturbances, a leader?follower formation control strategy based on accurate disturbance observer (ADO) and a novel fixed-time fast terminal sliding mode (FTFTSM) control for unmanned surface vehi...
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Meng Joo Er and Zhongkun Li
Unmanned surface vehicles (USVs) have been widely applied in the fields of marine hydrological exploration, marine resource exploration, area search, target detection, and military operations. In order to meet the demand of a complex ocean environment, U...
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Sendren Sheng-Dong Xu, Hsu-Chih Huang, Tai-Chun Chiu and Shao-Kang Lin
This paper presents a biologically-inspired learning and adaptation method for self-evolving control of networked mobile robots. A Kalman filter (KF) algorithm is employed to develop a self-learning RBFNN (Radial Basis Function Neural Network), called th...
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Rodrigo Menon Simões Moita, Daniel Silva
Pág. 527 - 552
This study seeks to understand the competitive pattern and strategy of the firms in the Brazilian automobile financing market. First, we analyzed the strong segmentation observed in this market, determining market niches. We then estimated reaction funct...
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