Leader-Following Coordinated Control for Multiple Autonomous Underwater Vehicles Recovery System with Time Varying Delays

2020 ◽  
Author(s):  
Wei Zhang ◽  
Jia Zeng ◽  
Zheping Yan ◽  
Yu Zhang ◽  
Weida Tian
Keyword(s):  
Autonomous Underwater Vehicles ◽  
Coordinated Control ◽  
Underwater Vehicles ◽  
Time Varying ◽  
Recovery System ◽  
Leader Following

An Algorithm of Complete Coverage Path Planning for Autonomous Underwater Vehicles

2011 ◽  
Vol 467-469 ◽  
pp. 1377-1385 ◽  
Author(s):  
Ming Zhong Yan ◽  
Da Qi Zhu
Keyword(s):  
Path Planning ◽  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
Time Varying ◽  
Simulation Studies ◽  
Complete Coverage ◽  
Biologically Inspired ◽  
Coverage Path Planning ◽  
Underwater Environment ◽  
Global Cost

Complete coverage path planning (CCPP) is an essential issue for Autonomous Underwater Vehicles’ (AUV) tasks, such as submarine search operations and complete coverage ocean explorations. A CCPP approach based on biologically inspired neural network is proposed for AUVs in the context of completely unknown environment. The AUV path is autonomously planned without any prior knowledge of the time-varying workspace, without explicitly optimizing any global cost functions, and without any learning procedures. The simulation studies show that the proposed approaches are capable of planning more reasonable collision-free complete coverage paths in unknown underwater environment.

Leader-following consensus of discrete-time multi-AUV recovery system with time-varying delay

2021 ◽  
Vol 219 ◽  
pp. 108258
Author(s):  
Wei Zhang ◽  
Jia Zeng ◽  
Zheping Yan ◽  
Shilin Wei ◽  
Weida Tian
Keyword(s):  
Discrete Time ◽  
Time Varying ◽  
Time Varying Delay ◽  
Recovery System ◽  
Leader Following ◽  
Varying Delay
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