Neighbor Selection: Less Connected, Better Convergence.

In this thread of works, we ask:

How the convergence rate of a diffusively coupled multi-agent network can be drammatically enhanced with less communication links?

We have established the following results:

1. Global network connectivity guarantee via distributed neighbor selection.
2. Convergence rate of the on the multi-agent system on the simplified network can be drammatically enhanced.

Related Papers

1. Haibin Shao, Lulu Pan, Mehran Mesbahi, Yugeng Xi and Dewei Li.
   Relative tempo of distributed averaging on networks.
   Automatica, 105:159-166, 2019. PDF

2. Haibin Shao, Lulu Pan, Mehran Mesbahi, Yugeng Xi, Dewei Li.
   Distributed Neighbor Selection in Multi-agent Networks.
   IEEE Transactions on Automatic Control, 68(11):6711-6726, 2023. PDF

3. Lulu Pan, Haibin Shao, Mehran Mesbahi, Dewei Li, Yugeng Xi.
   Structural Adaptivity of Directed Networks.
   arXiv preprint arXiv:2208.13223. PDF

4. Haibin Shao, Merhan Mesbahi, Dewei Li, and Yugeng Xi. Inferring centrality from network snapshots. Scientific Reports, 2017, 7(1):1-13.