Bounded Connectivity-Preserving Coordination of Networked Euler-Lagrange Systems
Yuan Yang, Daniela Constantinescu, Yang Shi

TL;DR
This paper develops strategies for maintaining network connectivity in Euler-Lagrange systems with actuation bounds and uncertainties, using scaled control laws, filters, and damping to ensure stable coordination.
Contribution
It introduces two novel control strategies that incorporate actuation bounds and uncertainties for connectivity preservation in Euler-Lagrange networks.
Findings
Conditions for bounded connectivity-preserving coordination are derived.
Simulation results confirm the effectiveness of the proposed strategies.
Abstract
This paper derives sufficient conditions for bounded distributed connectivity-preserving coordination of Euler-Lagrange systems with only position measurements and with system uncertainties, respectively. The paper proposes two strategies that suitably scale conventional gradient-based controls to account for the actuation bounds and to reserve sufficient actuation for damping injection. For output feedback control of networked systems with only position measurements, the paper incorporates a first-order filter to estimate velocities and to inject damping for stability. For networks of uncertain systems, the paper augments conventional linear filter-based adaptive compensation with damping injection to maintain the local connectivity of the network. Analyses based on monotonically decreasing Lyapunov-like functions and Barbalat's lemma lead to sufficient conditions for bounded local…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Neural Networks Stability and Synchronization · Adaptive Control of Nonlinear Systems
