Consensus of a Class of Nonlinear Systems With Varying Topology : A Hilbert Metric Approach
(2025) In IEEE Transactions on Automatic Control- Abstract
In this technical note, we introduce a novel approach to studying consensus of continuous-time nonlinear systems with varying topology based on Hilbert metric. We demonstrate that this metric offers significant flexibility in analyzing consensus properties, while effectively handling nonlinearities and time dependencies. Notably, our approach relaxes key technical assumptions from some standard results while yielding stronger conclusions with shorter proofs. This framework provides new insights into nonlinear consensus under varying topology.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/9e21d330-8d11-4072-bb0a-aa422e545b5d
- author
- Wu, Dongjun LU
- organization
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- epub
- subject
- keywords
- Hilbert metric, nonlinear consensus, varying topology
- in
- IEEE Transactions on Automatic Control
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:105005179226
- ISSN
- 0018-9286
- DOI
- 10.1109/TAC.2025.3570225
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 1963-2012 IEEE.
- id
- 9e21d330-8d11-4072-bb0a-aa422e545b5d
- date added to LUP
- 2025-08-18 14:48:45
- date last changed
- 2025-08-18 14:48:54
@article{9e21d330-8d11-4072-bb0a-aa422e545b5d, abstract = {{<p>In this technical note, we introduce a novel approach to studying consensus of continuous-time nonlinear systems with varying topology based on Hilbert metric. We demonstrate that this metric offers significant flexibility in analyzing consensus properties, while effectively handling nonlinearities and time dependencies. Notably, our approach relaxes key technical assumptions from some standard results while yielding stronger conclusions with shorter proofs. This framework provides new insights into nonlinear consensus under varying topology.</p>}}, author = {{Wu, Dongjun}}, issn = {{0018-9286}}, keywords = {{Hilbert metric; nonlinear consensus; varying topology}}, language = {{eng}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{IEEE Transactions on Automatic Control}}, title = {{Consensus of a Class of Nonlinear Systems With Varying Topology : A Hilbert Metric Approach}}, url = {{http://dx.doi.org/10.1109/TAC.2025.3570225}}, doi = {{10.1109/TAC.2025.3570225}}, year = {{2025}}, }