Výsledky vyhledávání - "Guiqiang Bai"

Akademický článek

Collaborative Search and Target Capture of AUV Formations in Obstacle Environments

Autor: Xinyu Hu, Yu Shi, Guiqiang Bai, Yanli Chen

Publikováno v: Applied Sciences, Vol 13, Iss 15, p 9016 (2023)

When performing cooperative search operations underwater, multi-autonomous underwater vehicles formations may encounter array-type obstacles such as gullies and bumps. To safely traverse the obstacle domain, this paper balances convergence time, tran

Externí odkaz: https://doaj.org/article/2a846c0fff6f492b9e82b44e606ed55d

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Akademický článek

Path Planning and Obstacle Avoiding of the USV Based on Improved ACO-APF Hybrid Algorithm With Adaptive Early-Warning

Autor: Yanli Chen, Guiqiang Bai, Yin Zhan, Xinyu Hu, Jun Liu

Publikováno v: IEEE Access, Vol 9, Pp 40728-40742 (2021)

Path planning is important to the efficiency and navigation safety of USV autonomous operation offshore. To improve path planning, this study proposes the improved ant colony optimization-artificial potential field (ACO-APF) algorithm, which is based

Externí odkaz: https://doaj.org/article/f1df6a28e5b644fa8484220a3b9a09b5

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Akademický článek

Multi-AUV Collaborative Operation Based on Time-Varying Navigation Map and Dynamic Grid Model

Autor: Xiwen Ma, Chen Yanli, Guiqiang Bai, Jun Liu

Publikováno v: IEEE Access, Vol 8, Pp 159424-159439 (2020)

In a dynamic and complex environment, to improve the cooperative operation efficiency of multiple AUV groups, a bionic neural wave network (BNWN) algorithm, and a velocity vector synthesis (VVS) algorithm are proposed. A strategy of space decompositi

Externí odkaz: https://doaj.org/article/f87c9bf71e5343c28c5c23abef890ac1

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Akademický článek

Dynamic Model and Characteristic Analysis of Viscosity-Ultraelasticity for Bionic Vascular Network

Autor: Yanli Chen, Xueqing Zhang, Zhiyue Sang, Yongbai Sha, Guiqiang Bai

Publikováno v: Applied Bionics and Biomechanics, Vol 2021 (2021)

Due to the large volume of pipeline transportation, low cost, safety and the reliability, and automatic control, it is widely used in many fields of industrial development and human daily life. Most of the traditional hydraulic pipelines are steel pi

Externí odkaz: https://doaj.org/article/09f69c3ff2cc4a438d72b99deb1eb5fd

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Akademický článek

IHSSAO: An Improved Hybrid Salp Swarm Algorithm and Aquila Optimizer for UAV Path Planning in Complex Terrain

Autor: Jinyan Yao, Yongbai Sha, Yanli Chen, Guoqing Zhang, Xinyu Hu, Guiqiang Bai, Jun Liu

Publikováno v: Applied Sciences, Vol 12, Iss 11, p 5634 (2022)

In this paper, we propose a modified hybrid Salp Swarm Algorithm (SSA) and Aquila Optimizer (AO) named IHSSAO for UAV path planning in complex terrain. The primary logic of the proposed IHSSAO is to enhance the performance of AO by introducing the le

Externí odkaz: https://doaj.org/article/0f434b76923a4ec9986445bde6b172de

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Multi-AUV dynamic trajectory optimization and collaborative search combined with task urgency and energy consumption scheduling in 3-D underwater environment with random ocean currents and uncertain obstacles

Autor: Guiqiang Bai, Yanli chen, Xinyu Hu, Yu Shi, Wenwen Jiang, Xueqing Zhang

Publikováno v: Ocean Engineering. 275:113841

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::511b98abf8ba0e20668f277d1da2356f
https://doi.org/10.1016/j.oceaneng.2023.113841

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Path Planning and Obstacle Avoiding of the USV Based on Improved ACO-APF Hybrid Algorithm With Adaptive Early-Warning

Autor: Guiqiang Bai, Hu Xinyu, Jun Liu, Yan-Li Chen, Yin Zhan

Publikováno v: IEEE Access, Vol 9, Pp 40728-40742 (2021)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9ba2eb461e1d35ad9103ad5c3d9ab3d
https://doi.org/10.1109/access.2021.3062375

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Multi-autonomous underwater vehicles collaboratively search for intelligent targets in an unknown environment in the presence of interception

Autor: Chen Yanli, Ma Xiwen, Jun Liu, Sha Yongbai, Guiqiang Bai

Publikováno v: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 235:1539-1554

We present a bionic neural wave network that uses multiple autonomous underwater vehicles to search and acquire intelligent targets in an unknown underwater environment. The neuron pheromone content is arranged according to neural wave diffusion and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::67e3fd810886c45e0d93e475d489dbbf
https://doi.org/10.1177/0954406220943621

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Multi-AUV Collaborative Operation Based on Time-Varying Navigation Map and Dynamic Grid Model

Autor: Chen Yanli, Jun Liu, Ma Xiwen, Guiqiang Bai

Publikováno v: IEEE Access, Vol 8, Pp 159424-159439 (2020)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72d57c3db77512bedc92465e325227a2
https://ieeexplore.ieee.org/document/9181506/

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Spatial fractional permeability and fractional thermal conductivity models of fractal porous medium

Autor: Yanli Chen, Wenwen Jiang, Xueqing Zhang, Yuanyuan Geng, Guiqiang Bai

Publikováno v: Physics of Fluids. 34:073106

In order to describe the seepage and heat transfer problems of non-Newtonian fluids in porous media, a spatial fractional permeability model and a fractional thermal conductivity model for a fractal porous medium are developed based on the fractional

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6ddd1515a3e8611262d4cf6d18ace95
https://doi.org/10.1063/5.0100451

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