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Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
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Adaptive Bearing-Only Formation Tracking Control for Nonholonomic Multiagent Systems.
IEEE Transactions on Cybernetics
|January 8, 2021
Summary
This study introduces a new method for multiagent systems to achieve formation tracking using only relative bearing measurements. This approach enables decentralized control and successful formation control without needing relative position data.
Area of Science:
- Robotics
- Control Theory
- Multiagent Systems
Background:
- Formation tracking is crucial for multiagent systems but often relies on relative position data.
- Existing methods struggle with bearing-only measurements, limiting practical applications.
- Nonholonomic constraints in multiagent systems add complexity to formation control.
Purpose of the Study:
- To address the formation tracking problem for nonholonomic multiagent systems using solely relative bearing measurements.
- To develop a decentralized control strategy that overcomes limitations of existing approaches requiring relative position data.
- To enable robust formation achievement under bearing-only constraints.
Main Methods:
- A fully distributed adaptive reference velocity estimator was proposed for asymptotic estimation of time-varying velocities.
- An input-to-state stable controller was designed based on bearing rigid theory.
- The scheme was validated through simulations and experimental tests.
Main Results:
- The proposed adaptive estimator successfully estimates time-varying reference velocities in a distributed manner.
- The bearing-rigid-theory-based controller achieves formation tracking under bearing-only constraints.
- Simulation and experimental results confirm the effectiveness of the proposed formation tracking scheme.
Conclusions:
- The developed method enables effective formation tracking for nonholonomic multiagent systems using only relative bearing information.
- This research advances the field by providing a practical solution for decentralized formation control with limited sensing.
- The findings have implications for coordinated robotics and autonomous systems operating with bearing-based navigation.
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