A Consensus Algorithm for Second-Order Systems Evolving on Lie Groups

Fuente: arXiv
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Autori principali: Krishna, Akhil B, Khorrami, Farshad, Tzes, Anthony
Natura: Preprint
Pubblicazione: 2025
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author Krishna, Akhil B
Khorrami, Farshad
Tzes, Anthony
author_facet Krishna, Akhil B
Khorrami, Farshad
Tzes, Anthony
contents In this paper, a consensus algorithm is proposed for interacting multi-agents, which can be modeled as simple Mechanical Control Systems (MCS) evolving on a general Lie group. The standard Laplacian flow consensus algorithm for double integrator systems evolving on Euclidean spaces is extended to a general Lie group. A tracking error function is defined on a general smooth manifold for measuring the error between the configurations of two interacting agents. The stability of the desired consensus equilibrium is proved using a generalized version of Lyapunov theory and LaSalle's invariance principle applicable for systems evolving on a smooth manifold. The proposed consensus control input requires only the configuration information of the neighboring agents and does not require their velocities and inertia tensors. The design of tracking error function and consensus control inputs are demonstrated through an application of attitude consensus problem for multiple communicating rigid bodies. The consensus algorithm is numerically validated by demonstrating the attitude consensus problem.
format Preprint
id arxiv_https___arxiv_org_abs_2508_17473
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Consensus Algorithm for Second-Order Systems Evolving on Lie Groups
Krishna, Akhil B
Khorrami, Farshad
Tzes, Anthony
Systems and Control
Multiagent Systems
Dynamical Systems
In this paper, a consensus algorithm is proposed for interacting multi-agents, which can be modeled as simple Mechanical Control Systems (MCS) evolving on a general Lie group. The standard Laplacian flow consensus algorithm for double integrator systems evolving on Euclidean spaces is extended to a general Lie group. A tracking error function is defined on a general smooth manifold for measuring the error between the configurations of two interacting agents. The stability of the desired consensus equilibrium is proved using a generalized version of Lyapunov theory and LaSalle's invariance principle applicable for systems evolving on a smooth manifold. The proposed consensus control input requires only the configuration information of the neighboring agents and does not require their velocities and inertia tensors. The design of tracking error function and consensus control inputs are demonstrated through an application of attitude consensus problem for multiple communicating rigid bodies. The consensus algorithm is numerically validated by demonstrating the attitude consensus problem.
title A Consensus Algorithm for Second-Order Systems Evolving on Lie Groups
topic Systems and Control
Multiagent Systems
Dynamical Systems
url https://arxiv.org/abs/2508.17473