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Distributed Formation Maneuver Control Using Complex Laplacian
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AI
DOI：10.1109/TAC.2023.3327932.png)
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摘要
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This article studies the problem of distributed formation maneuver control of multiagent systems via complex Laplacian. We will show how to change the translation, scaling, rotation, and also the shape of formation continuously by only tuning the positions of the leaders in both 2-D and 3-D spaces, where the rotation of formation in the 3-D space is realized by changing the yaw angle, pitch angle, and roll angle of formation sequentially. Compared with real-Laplacian-based methods, the first advantage of the proposed complex-Laplacian-based approach is that each follower requires fewer neighbors and lesser communication. The second advantage is that nonconvex and nongeneric nominal configurations are allowed and the uniqueness of the complex-constraint-based target formation can be guaranteed by the noncollocated nominal agents. The third advantage is that more formation shapes can be realized by only tuning the positions of the leaders. Two simulation examples are given to illustrate the theoretical results.
Keyword:
2-D plane
3-D space
complex Laplacian
formation maneuver control
multiagent system
期刊
IF:
7
论文数:
1.3W
被引数:
6.7W
机构
引用论文
Affine formation maneuver control of high-order multi-agent systems over directed networks.png)
AUTOMATICA
AUTOMATICAIF5.9
PREAI
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