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51,907 results on '"Duan, HaiBin"'

55. Drogue Detection for Autonomous Aerial Refueling Based on Adaboost and Convolutional Neural Networks

Author

Guo, Yanjie, Deng, Yimin, Duan, Haibin, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Cheng, Long, editor, Leung, Andrew Chi Sing, editor, and Ozawa, Seiichi, editor

Published
2018
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81. Optimal Impulsive Thrust Trajectories for Satellite Formation via Improved Brainstorm Optimization

Author

Soyinka, Olukunle Kolawole, Duan, Haibin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Tan, Ying, editor, Shi, Yuhui, editor, and Niu, Ben, editor

Published
2016
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82. Hot-Redundancy CPCI Measurement and Control System Based on Probabilistic Neural Networks

Author

Li, Dan, Hu, Xiaoguang, Zhang, Guofeng, Duan, Haibin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Cheng, Long, editor, Liu, Qingshan, editor, and Ronzhin, Andrey, editor

Published
2016
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85. Interactive Learning Environment for Bio-Inspired Optimization Algorithms for UAV Path Planning

Author

Duan, Haibin, Li, Pei, Shi, Yuhui, Zhang, Xiangyin, and Sun, Changhao

Abstract

This paper describes the development of BOLE, a MATLAB-based interactive learning environment, that facilitates the process of learning bio-inspired optimization algorithms, and that is dedicated exclusively to unmanned aerial vehicle path planning. As a complement to conventional teaching methods, BOLE is designed to help students consolidate the concepts taught in the course and motivate them to explore relevant issues of bio-inspired optimization algorithms through interactive and collaborative learning processes. BOLE differs from other similar tools in that it places greater emphasis on fundamental concepts than on complex mathematical equations. The learning tasks using BOLE can be classified into four steps: introduction, recognition, practice, and collaboration, according to task complexity. It complements traditional classroom teaching, enhancing learning efficiency and facilitating the assessment of student achievement, as verified by its practical application in an undergraduate course "Bio-Inspired Computing." Both objective and subjective measures were evaluated to assess the learning effectiveness.

Published
2015
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89. Distributed Robust Learning Control for Multiple Unmanned Surface Vessels With Fixed-Time Prescribed Performance

Author

Duan, Haibin, Yuan, Yang, and Zeng, Zhigang

Abstract

This article investigates the distributed formation control problem for multiple unmanned surface vessels (USVs) with model uncertainties, exogenous disturbance, and input saturation. First, a distributed finite-time sliding mode observer is developed to obtain the desired trajectory of each USV. Then, a second-order differentiable continuous fixed-time prescribed performance function is applied to reconstruct the error model based on the reference signal. In addition, the unknown part and disturbance are simultaneously handled by the composite learning control method as well as input saturation, where the acrlong NN, disturbance observer, auxiliary system, and nonsingular fast terminal sliding mode technique are integrated. Moreover, it is proved that the formation error converges to a small neighbor of the origin in a finite time. Finally, the computational simulation examples are conducted to validate the feasibility and effectiveness of the proposed method.

Published
2024
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90. Bird Flocking Inspired Methods for Multi-UAV Cooperative Target Search

Author

Shen, Yankai, Wei, Chen, Sun, Yongbin, and Duan, Haibin

Abstract

This brief proposes bird-inspired search strategies and control methods for unmanned aerial vehicles (UAVs) to search for signal targets. The target search problem is divided into two stages. In the frequency-domain search, a sensor model with constraints is constructed, and a signal search strategy is designed. In the spatial search, the birds mimic task state transfer rules, search strategies, and control laws based on individual properties of bird behaviors are presented. Simulation results demonstrate the feasibility and efficiency of the proposed methods and provide valuable insights for the practical application of cooperative UAVs.

Published
2024
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