Time-Varying Formation Control for Unmanned Aerial Vehicles: Theories and Applications
By Xiwang Dong, Bocheng Yu, Zongying Shi, Yisheng Zhong. IEEE Transactions on Control Systems Technology, 2015
922 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/ab4a4d13e5cc3b8e4365bf522edf364778eb4d0c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
In Computer Networks and Communications
In Public Health, Environmental and Occupational Health
- Xiwang Dong
- Qing-Long Han
- Xiaohua Ge
- Yan Zhou
- Yisheng Zhong
- Amir Hossein Barshooi
- Abdollah Amirkhani
Citations in the corpus
- Theory and Experiment on Formation-Containment Control of Multiple Multirotor Unmanned Aerial Vehicle Systems (2019, background): “can be modeled by the following double-integrator [9], [10], [25], [27]”
- Time‐varying group formation analysis and design for general linear multi‐agent systems with directed topologies (2016, background): “Recent years have witnessed an increasing interest in cooperative control of multi-agent systems due to its extensive applications in synchronization of networked systems [1, 2], cooperative manipulation of mobile robots [3, 4], formation flying of unmanned aerial vehicles (UAVs) [5, 6], and so on.”
- Affine Formation Maneuver Control of Multiagent Systems (2018, background): “An approach that can track general time-varying formations has been proposed recently in [17].”
- Time-Varying Formation Tracking for Second-Order Multi-Agent Systems Subjected to Switching Topologies With Application to Quadrotor Formation Flying (2017, background): “, [34], [35], [45], and [46] for more details).”
- Time-varying formation control for unmanned aerial vehicles with switching interaction topologies (2014, methodology): “For each of these UAVs, since the trajectory dynamics has much larger time constants than the attitude dynamics, the formation control can be decoupled into an inner-loop control and an outer-loop control, where the inner-loop controller stabilizes the attitude and the outer-loop controller is used ”
- 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.”