activity
20202022
most citedConsensus on Matrix-weighted Time-varying Networks

4 citations · 7 across the 5 of their papers we have counts for

collaborators

6 papers

eess.SY2022

Vector-valued Privacy-Preserving Average Consensus

Lulu Pan, Haibin Shao, Yang Lu +3

Achieving average consensus without disclosing sensitive information can be a critical concern for multi-agent coordination. This paper examines privacy-preserving average consensu…

eess.SY20211 cited

Event-triggered Consensus of Matrix-weighted Networks Subject to Actuator Saturation

Lulu Pan, Haibin Shao, Yuanlong Li +2

The ubiquitous interdependencies among higher-dimensional states of neighboring agents can be characterized by matrix-weighted networks. This paper examines event-triggered global…

eess.SY20212 cited

Cluster Consensus on Matrix-weighted Switching Networks

Lulu Pan, Haibin Shao, Mehran Mesbahi +2

This paper examines the cluster consensus problem of multi-agent systems on matrix-weighted switching networks. Necessary and/or sufficient conditions under which cluster consensus…

eess.SY2020

Characterizing Bipartite Consensus on Signed Matrix-Weighted Networks via Balancing Set

Chongzhi Wang, Lulu Pan, Haibin Shao +2

In contrast with the scalar-weighted networks, where bipartite consensus can be achieved if and only if the underlying signed network is structurally balanced, the structural balan…

eess.SY20204 cited

Consensus on Matrix-weighted Time-varying Networks

Lulu Pan, Haibin Shao, Mehran Mesbahi +2

This paper examines the consensus problem on time-varying matrix-weighed undirected networks. First, we introduce the matrix-weighted integral network for the analysis of such netw…

eess.SY2020

On the Controllability of Matrix-weighted Networks

Lulu Pan, Haibin Shao, Mehran Mesbahi +2

This letter examines the controllability of consensus dynamics on matrix-weighed networks from a graph-theoretic perspective. Unlike the scalar-weighted networks, the rank of weigh…