Distributed Formation Control of Multi-Agent Systems Using Complex Laplacian

By Zhiyun Lin, Lili Wang, Zhimin Han, M. Fu. IEEE Transactions on Automatic Control, 2014

438 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/ca6ac90f441fcd948b47e9004fd33868e7d7befd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Xiaohua Ge
2. Qing-Long Han
3. Shiyu Zhao
4. Xianming Zhang
5. Lei Ding
6. Chen Peng
7. Derui Ding
8. Dong Yue

In Modeling and Simulation

1. Qing-Long Han
2. Xiaohua Ge

Citations in the corpus

• Affine Formation Maneuver Control of Multiagent Systems (2018, background): “Very recently, researchers have proposed some approaches defining target formations using new types of constant constraints such as local bearings [18], barycentric coordinates [19], complex Laplacians [20], [21], and stress matrices [22].”
• Distributed Formation Control of Networked Multi-Agent Systems Using a Dynamic Event-Triggered Communication Mechanism (2017, methodology): “…autonomous underwater vehicles, nonholonomic mobile robots and generally linear dynamical systems, see, e.g., [3], [5]–[10] using leader–follower methods, [11]–[13] based on virtual leader approaches, [2], [14], [15] with leaderless consensus strategies and [16] adopting the complex Laplacian.”