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20202022
most citedA Cooperation-Aware Lane Change Method for Autonomous Vehicles

6 citations · 15 across the 10 of their papers we have counts for

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8 papers · 1 filter

eess.SY2023

Sufficient Conditions on Bipartite Consensus of Weakly Connected Matrix-weighted Networks

Chongzhi Wang, Haibin Shao, Ying Tan +1

Recent advancements in bipartite consensus, a scenario where agents are divided into two disjoint sets with agents in the same set agreeing on a certain value and those in differen…

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.SY2022

A co-design method of online learning SMC law via an input-mappping strategy

Yaru Yu, Dewei Li, Dongya Zhao +1

The research on sliding mode control strategy is generally based on the robust approach. The larger parameter space consideration will inevitably sacrifice part of the performance.…

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

Optimal Synchronization Control for Heterogeneous Multi-Agent Systems: Online Adaptive Learning Solutions

Yuanqiang Zhou, Dewei Li, Furong Gao

This paper presents an online adaptive learning solution to optimal synchronization control problem of heterogeneous multi-agent systems via a novel distributed policy iteration ap…

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…