Adaptive 3D Distance-Based Formation Control of Multiagent Systems with Unknown Leader Velocity and Coplanar Initial Positions
This paper considers the distributed 3-dimensional (3D) distance-based formation control of multiagent systems, where the agents are connected based on an acyclic minimally structural persistent (AMSP) graph. A parameter is designed according to the desired formation shape and is used to solve the p...
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/1814653 |
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doaj-bf69abe2cdf14f59829749db7afecb042020-11-24T21:38:10ZengHindawi-WileyComplexity1076-27871099-05262018-01-01201810.1155/2018/18146531814653Adaptive 3D Distance-Based Formation Control of Multiagent Systems with Unknown Leader Velocity and Coplanar Initial PositionsXuejing Lan0Wenbiao Xu1Yun-Shan Wei2School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, ChinaGuangdong Institute of Metrology, Guangzhou 510405, ChinaSchool of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, ChinaThis paper considers the distributed 3-dimensional (3D) distance-based formation control of multiagent systems, where the agents are connected based on an acyclic minimally structural persistent (AMSP) graph. A parameter is designed according to the desired formation shape and is used to solve the problem that there are two formation shapes satisfying the same distance requirements. The unknown moving velocity of the leader agent is estimated adaptively by the followers requiring only the relative position measurements with respect to their local coordinate systems. In addition, the proposed formation controller provides a new way for the agent to leave the initial coplanar location. The 3D formation control law is globally asymptotically stable and has been demonstrated based on the Lyapunov theorem. Finally, two numerical simulations are presented to support the theoretical analysis.http://dx.doi.org/10.1155/2018/1814653 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xuejing Lan Wenbiao Xu Yun-Shan Wei |
spellingShingle |
Xuejing Lan Wenbiao Xu Yun-Shan Wei Adaptive 3D Distance-Based Formation Control of Multiagent Systems with Unknown Leader Velocity and Coplanar Initial Positions Complexity |
author_facet |
Xuejing Lan Wenbiao Xu Yun-Shan Wei |
author_sort |
Xuejing Lan |
title |
Adaptive 3D Distance-Based Formation Control of Multiagent Systems with Unknown Leader Velocity and Coplanar Initial Positions |
title_short |
Adaptive 3D Distance-Based Formation Control of Multiagent Systems with Unknown Leader Velocity and Coplanar Initial Positions |
title_full |
Adaptive 3D Distance-Based Formation Control of Multiagent Systems with Unknown Leader Velocity and Coplanar Initial Positions |
title_fullStr |
Adaptive 3D Distance-Based Formation Control of Multiagent Systems with Unknown Leader Velocity and Coplanar Initial Positions |
title_full_unstemmed |
Adaptive 3D Distance-Based Formation Control of Multiagent Systems with Unknown Leader Velocity and Coplanar Initial Positions |
title_sort |
adaptive 3d distance-based formation control of multiagent systems with unknown leader velocity and coplanar initial positions |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1076-2787 1099-0526 |
publishDate |
2018-01-01 |
description |
This paper considers the distributed 3-dimensional (3D) distance-based formation control of multiagent systems, where the agents are connected based on an acyclic minimally structural persistent (AMSP) graph. A parameter is designed according to the desired formation shape and is used to solve the problem that there are two formation shapes satisfying the same distance requirements. The unknown moving velocity of the leader agent is estimated adaptively by the followers requiring only the relative position measurements with respect to their local coordinate systems. In addition, the proposed formation controller provides a new way for the agent to leave the initial coplanar location. The 3D formation control law is globally asymptotically stable and has been demonstrated based on the Lyapunov theorem. Finally, two numerical simulations are presented to support the theoretical analysis. |
url |
http://dx.doi.org/10.1155/2018/1814653 |
work_keys_str_mv |
AT xuejinglan adaptive3ddistancebasedformationcontrolofmultiagentsystemswithunknownleadervelocityandcoplanarinitialpositions AT wenbiaoxu adaptive3ddistancebasedformationcontrolofmultiagentsystemswithunknownleadervelocityandcoplanarinitialpositions AT yunshanwei adaptive3ddistancebasedformationcontrolofmultiagentsystemswithunknownleadervelocityandcoplanarinitialpositions |
_version_ |
1725935186816794624 |