A Network Transformation Mapping Approach to Synchronization of Multi-Agent Systems With Disconnected Switching Topologies
Haotian Xu, Bohui Wang, Shuai Liu, Chao Shen, Xiangyu Meng, Guanghui Wen

TL;DR
This paper introduces a network transformation method for synchronizing multi-agent systems with randomly disconnected and reconnected links, ensuring asymptotic synchronization despite switching topologies.
Contribution
It proposes a novel network transformation mapping approach that handles random link disconnections and reconnections, extending synchronization strategies to more general switching topologies.
Findings
The method achieves asymptotic synchronization under random switching topologies.
Adaptive strategies reduce computational complexity of the network transformation.
Numerical simulations demonstrate the effectiveness of the proposed approach.
Abstract
This paper focuses on the multi-agent synchronization problem with an open-loop unstable leader and followers under the switching topologies. For this issue, the typical approach is intermittent communication (including a spanning tree intermittently) or fast switching strategy. We here consider a more general scenario where each communication link between two agents is randomly disconnected and reconnected, and the durations of both the disconnected intervals and the connected intervals follow negative exponential distributions. To handle this issue, we propose a network transformation mapping method that divides the communication network into reachable and unreachable parts at any time. A node can access the leader's information and synchronize only when it lies in the reachable part; otherwise, it cannot. For each node, the synchronization speed is designed such that its convergence…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
