Distributed Entrapping Control of Multi-Agent Systems Using Bearing Measurements
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
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Detail(s)
Original language | English |
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Pages (from-to) | 5696-5710 |
Journal / Publication | IEEE Transactions on Automatic Control |
Volume | 66 |
Issue number | 12 |
Online published | 23 Dec 2020 |
Publication status | Published - Dec 2021 |
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Abstract
This article studies the distributed entrapping control problem of multiple mobile agents based on bearing and velocity measurements. A time-varying entrapping formation with a prescribed shape, which is elastic and rotational with respect to the target is adopted. Such a formation allows agents to move even in restricted areas while still entrapping the target as a whole. To achieve the entrapping formation based on bearing measurements, a leader-follower structure is adopted, and a design framework integrating formation shape observers, relative position estimators, and distributed controllers is proposed. The rigorous stability analysis of the overall system is also given. It is shown that the stability of the closed loop system is guaranteed if its bearing observability is satisfied. Since the desired formation is determined by the trajectories of the leaders, we characterize the sufficient conditions on the trajectories of the leaders such that the bearing observability of the closed loop system is always satisfied, and the estimation errors and the formation tracking errors converge to zero asymptotically. Simulations verify the effectiveness of the proposed framework.
Research Area(s)
- Bearing measurements, bearing observability, distributed control, Multi-agent systems, Observability, Observers, Robot sensing systems, Sensors, Shape, target entrapping, time-varying formation control, Trajectory
Citation Format(s)
Distributed Entrapping Control of Multi-Agent Systems Using Bearing Measurements. / Yang, Ziwen; Chen, Cailian; Zhu, Shanying et al.
In: IEEE Transactions on Automatic Control, Vol. 66, No. 12, 12.2021, p. 5696-5710.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review