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Volume 4, Issue 3, December 2017, Pages 179 - 182
Neutral Networks-Based Adaptive Fixed-Time Consensus Tracking Control for Uncertain Multiple AUVs
Authors
Lin Zhao, Yingmin Jia, Jinpeng Yu
Corresponding Author
Lin Zhao
Available Online 1 December 2017.
- DOI
- 10.2991/jrnal.2017.4.3.1How to use a DOI?
- Keywords
- Multi-AUV systems; Terminal sliding mode; fixed-time stability; Neutral Networks.
- Abstract
This paper is concerned with the fixed-time consensus tracking problem for multi-AUV (autonomous underwater vehicle) systems with uncertain parameters and external disturbances. Firstly, a fixed-time terminal sliding mode is proposed, which can avoid the singularity problem. Then, a continuous distributed consensus tracking control law is designed based on Neutral Network approximation technique, which can guarantee the consensus tracking errors converge to the desired regions in fixed time. A simulation example is given to show the effectiveness of proposed methods.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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Cite this article
TY - JOUR AU - Lin Zhao AU - Yingmin Jia AU - Jinpeng Yu PY - 2017 DA - 2017/12/01 TI - Neutral Networks-Based Adaptive Fixed-Time Consensus Tracking Control for Uncertain Multiple AUVs JO - Journal of Robotics, Networking and Artificial Life SP - 179 EP - 182 VL - 4 IS - 3 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2017.4.3.1 DO - 10.2991/jrnal.2017.4.3.1 ID - Zhao2017 ER -