Baldivieso-Monasterios, P.R. orcid.org/0000-0003-1518-1177 and Masero, E. orcid.org/0000-0003-1610-4237 (2025) Coalitional control: clustering based on the H2 norm. IEEE Control Systems Letters, 9. pp. 1538-1543. ISSN: 2475-1456
Abstract
This letter presents an original analysis of the coupling sources in a network of dynamical systems. A coalitional controller exploits switching between different groupings of network members to achieve its regulation goals. In this letter, we rigorously analyse a key assumption in robust distributed control methods: the weak coupling assumption. We present an analysis based on Linear Matrix Inequalities to assess this assumption to design Robust Control Invariant sets for all possible network partitions. We also exploit our coupling analysis to propose a novel partition selection optimisation based on the system’s H2 norm. This strategy simplifies the partition selection process, as demonstrated through illustrative examples, leading to enhanced computational efficiency while rigorously preserving the stability and robustness essential for distributed control system applications.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © 2025 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ |
| Keywords: | Model predictive control; clustering; distributed systems; plug-n-play events; tube-based MPC |
| Dates: |
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| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering |
| Date Deposited: | 18 Aug 2026 11:11 |
| Last Modified: | 18 Aug 2026 11:11 |
| Status: | Published |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Refereed: | Yes |
| Identification Number: | 10.1109/lcsys.2025.3582199 |
| Related URLs: | |
| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:244469 |
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