Fast Multiagent Formation Stabilization with Sparse Universally Rigid Frameworks

Affine formation control (AFC) is a distributed networked control system that has recently received increasing attention in various applications. AFC is typically achieved using a generalized consensus system where the stress matrix, which encodes the graph structure, is used instead of a graph Laplacian. Universally rigid frameworks (URFs) guarantee the existence of the stress matrix and have thus become the guideline for such a network design. In this work, we propose a convex optimization framework to design the stress matrix for AFC without predefining a rigid graph. We aim to find a resulting network with a reduced number of communication links, but still with a fast convergence speed. We show through simulations that our proposed solutions can yield a more sparse graph, while admitting a faster convergence compared to the state-of-the-art solutions.

Publication Details

Journal
ArXiv.org
Published
2025-08-25
Primary Topic
Geochemistry and Geologic Mapping
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article
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article

Fast Multiagent Formation Stabilization with Sparse Universally Rigid Frameworks

ArXiv.org
Geochemistry and Geologic Mapping
article

Fast Multiagent Formation Stabilization with Sparse Universally Rigid Frameworks

article en

Abstract

Affine formation control (AFC) is a distributed networked control system that has recently received increasing attention in various applications. AFC is typically achieved using a generalized consensus system where the stress matrix, which encodes the graph structure, is used instead of a graph Laplacian. Universally rigid frameworks (URFs) guarantee the existence of the stress matrix and have thus become the guideline for such a network design. In this work, we propose a convex optimization framework to design the stress matrix for AFC without predefining a rigid graph. We aim to find a resulting network with a reduced number of communication links, but still with a fast convergence speed. We show through simulations that our proposed solutions can yield a more sparse graph, while admitting a faster convergence compared to the state-of-the-art solutions.

ArXiv.org
Openalex Percentile: Top 61%
Geochemistry and Geologic Mapping
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Fast Multiagent Formation Stabilization with Sparse Universally Rigid Frameworks · ArXiv.org (2025) | TGRS Research Map | TGRS