NDLI: Cooperative search algorithm For AUVs based on bio-inspired model

Content Provider	IEEE Xplore Digital Library
Author	Zhengwen Rui Daqi Zhu
Copyright Year	2014
Description	Author affiliation: Lab. of Underwater Vehicles & Intell. Syst., Shanghai Maritime Univ., Shanghai, China (Zhengwen Rui; Daqi Zhu)
Abstract	To deal with the cooperative search issue of AUVs (autonomous underwater vehicles) system, a bio-inspired model based strategy of cooperative search of AUVs is presented. First, bio-inspired neural network model is established, using this model to represents the AUV's underwater environment, Each neuron in neural network corresponds to locations of the grid map. Then, AUV determines its position in the grid map, according to the status of the targets and the obstacles. Then, AUV calculates the activity value of surrounding neurons from the neural network. Next, find the maximum neural activity, and take the location of neuron as the next step in the search path to realize the independent search of AUVs. Simulation results show that the approach has the effectiveness and the fault tolerant capability.
Starting Page	4569
Ending Page	4574
File Size	959007
Page Count	6
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems cooperative search bio-inspired model fault tolerant capability Autonomous Underwater Vehicles
Content Type	Text
Resource Type	Article

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