Name
Title | ||
|---|---|---|
An Adaptive SOM Neural Network Method for Distributed Formation Control of a Group of AUVs. |
Abstract | ||
|---|---|---|
An adaptive self-organizing map (SOM) neural network method is proposed for distributed formation control of a group of autonomous underwater vehicles (AUVs). This method controls the AUVs holding their positions in the formation when the formation moves as a whole. The group of AUVs can reach the desired locations in an expected formation shape along preplanned trajectories. The proposed control ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TIE.2018.2807368 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Task analysis,Shape,Trajectory,Diamond,Tracking,Adaptive systems | Control theory,Task analysis,Adaptive system,Workload,Control theory,Control engineering,Fault tolerance,Engineering,Artificial neural network,Trajectory,Underwater | Journal |
Volume | Issue | ISSN |
65 | 10 | 0278-0046 |
Citations | PageRank | References |
12 | 0.50 | 0 |
Authors | ||
2 | ||