Communication-Aware Dissipative Control for Networks of Heterogeneous Nonlinear Agents

Fuente: arXiv
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Auteurs principaux: Jang, Ingyu, Bridgeman, Leila J.
Format: Preprint
Publié: 2025
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author Jang, Ingyu
Bridgeman, Leila J.
author_facet Jang, Ingyu
Bridgeman, Leila J.
contents Communication-aware control is essential to reduce costs and complexity in large-scale networks. However, it is challenging to simultaneously determine a sparse communication topology and achieve high performance and robustness. This work achieves all three objectives through dissipativity-based, sparsity-promoting controller synthesis. The approach identifies an optimal sparse structure using either weighted l1 penalties or alternating direction methods of multipliers (ADMM) with a cardinality term, and iteratively solves a convexified version of the NP hard structured optimal control problem. The proposed methods are demonstrated on heterogeneous networks with uncertain and unstable agents.
format Preprint
id arxiv_https___arxiv_org_abs_2511_21962
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Communication-Aware Dissipative Control for Networks of Heterogeneous Nonlinear Agents
Jang, Ingyu
Bridgeman, Leila J.
Systems and Control
Optimization and Control
Communication-aware control is essential to reduce costs and complexity in large-scale networks. However, it is challenging to simultaneously determine a sparse communication topology and achieve high performance and robustness. This work achieves all three objectives through dissipativity-based, sparsity-promoting controller synthesis. The approach identifies an optimal sparse structure using either weighted l1 penalties or alternating direction methods of multipliers (ADMM) with a cardinality term, and iteratively solves a convexified version of the NP hard structured optimal control problem. The proposed methods are demonstrated on heterogeneous networks with uncertain and unstable agents.
title Communication-Aware Dissipative Control for Networks of Heterogeneous Nonlinear Agents
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2511.21962