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Consensus-Aware Co-design of Wireless Multi-Agent Control and Communication Systems — arXiv:2610.30141

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.30141
License (as archived): CC0-1.0
Archived: 2026-10-26T01:26:22.474Z
SHA-256 of the archived text: 5bde0f781d537cd79de35d1c5980adab804119925d120ff6dde0f3bdd1497945
Stable URL of this page: https://metraipolis.com/documento/dc_ea57ab3318ca

How to cite

Consensus-Aware Co-design of Wireless Multi-Agent Control and Communication Systems — arXiv:2610.30141 — arXiv (en), https://arxiv.org/abs/2610.30141 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ea57ab3318ca (Metraipolis archive dc_ea57ab3318ca, sha256 5bde0f781d537cd79de35d1c5980adab804119925d120ff6dde0f3bdd1497945)

BibTeX

@misc{dcea57ab3318ca,
  title = {Consensus-Aware Co-design of Wireless Multi-Agent Control and Communication Systems — arXiv:2610.30141},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.30141},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ea57ab3318ca; sha256 5bde0f781d537cd79de35d1c5980adab804119925d120ff6dde0f3bdd1497945},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.30141. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Autonomous multi-agent control systems (MACSs) enable distributed coordination in emerging applications such as smart power grids and autonomous vehicle or drone networks. In many of these applications, inter-agent communication relies on wireless networks. However, conventional MACS designs neglect the interaction between the communication and control subsystems. At the same time, conventional wireless designs reserve communication resources based on worst-case MACS requirements. Consequently, control performance is degraded and wireless resources are utilized inefficiently. To address these challenges, we propose a consensus-aware co-design approach for MACSs and wireless communication systems. We introduce a system model in which agents achieve consensus by exchanging information through device-to-device (D2D) links that share spectrum with cellular users under limited bandwidth resources. Based on this model, we formulate a joint optimization problem for consensus-topology selection and wireless resource allocation to minimize bandwidth consumption while guaranteeing consensus and satisfying the quality-of-service (QoS) requirements of both MACSs and cellular users. Although the resulting problem is a mixed-integer nonlinear program (NP-hard in general), a structural property of the optimal solution enables a sequential two-stage optimization algorithm with polynomial complexity. Simulations on a smart power grid case study demonstrate that the proposed approach achieves 24-27% bandwidth savings compared with the two baselines while maintaining consensus and satisfying all QoS requirements of the control agents and the communication users.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.MA, nuovi lavori del giorno).
Categorie arXiv: Optimization and Control (math.OC) ; Multiagent Systems (cs.MA).
Pagina del lavoro: https://arxiv.org/abs/2610.30141 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-26T01:25:23.664Z dalla pagina https://arxiv.org/list/cs.MA/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).