Collision-Free Bearing-Driven Formation Tracking for Euler-Lagrange Systems

📅 2025-08-13
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🤖 AI Summary
This paper addresses the bearing-only collision-free formation tracking problem for heterogeneous Euler–Lagrange systems under multiple mobile leaders. Challenges include unknown system parameters, access only to relative bearing measurements (no distance or global positioning), and time-varying communication topologies. To tackle these, we propose a distributed bearing-only observer for leader state estimation without range measurements, and an adaptive cooperative controller that requires no prior knowledge of system dynamics. The controller integrates a bearing-based consensus protocol with nonlinear stability analysis, yielding a sufficient condition for collision avoidance dependent on initial formation configuration. Simulation results demonstrate precise formation tracking, guaranteed inter-agent collision avoidance throughout the trajectory, and strong robustness against uncertainties and topology switching. The approach significantly advances the theoretical foundations of distributed cooperative control relying solely on bearing-only sensing.

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📝 Abstract
In this paper, we investigate the problem of tracking formations driven by bearings for heterogeneous Euler-Lagrange systems with parametric uncertainty in the presence of multiple moving leaders. To estimate the leaders' velocities and accelerations, we first design a distributed observer for the leader system, utilizing a bearing-based localization condition in place of the conventional connectivity assumption. This observer, coupled with an adaptive mechanism, enables the synthesis of a novel distributed control law that guides the formation towards the target formation, without requiring prior knowledge of the system parameters. Furthermore, we establish a sufficient condition, dependent on the initial formation configuration, that ensures collision avoidance throughout the formation evolution. The effectiveness of the proposed approach is demonstrated through a numerical example.
Problem

Research questions and friction points this paper is trying to address.

Tracking formations for Euler-Lagrange systems with uncertainty
Estimating leaders' velocities and accelerations without connectivity
Ensuring collision avoidance during formation evolution
Innovation

Methods, ideas, or system contributions that make the work stand out.

Distributed observer for leader velocity estimation
Adaptive control law without system parameters knowledge
Collision avoidance via initial formation condition
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