کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8063301 | 1520640 | 2018 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-AUV cooperative target search and tracking in unknown underwater environment
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی دریا (اقیانوس)
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Multi-AUV cooperative target search and tracking in unknown underwater environment Multi-AUV cooperative target search and tracking in unknown underwater environment](/preview/png/8063301.png)
چکیده انگلیسی
For target search and tracking in unknown underwater environment, an integrated algorithm for a cooperative team of multiple autonomous underwater vehicles (Multi-AUV) is proposed by combining the Glasius bio-inspired neural network (GBNN) and bio-inspired cascaded tracking control approach to improve search efficiency and reduce tracking errors. Among them, the GBNN is mainly used to control a multi-AUV team in search of each targets. Once any target is found, the bio-inspired cascaded tracking control approach is applied to track it in case that it may escape. This integrated algorithm deals with various situations such as search for static or dynamic targets, and tracking of different trajectory in underwater environments with obstacles. The simulation results show that this integrated algorithm is of high efficiency and adaptability.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ocean Engineering - Volume 150, 15 February 2018, Pages 1-11
Journal: Ocean Engineering - Volume 150, 15 February 2018, Pages 1-11
نویسندگان
Xiang Cao, Hongbing Sun, Gene Eu Jan,