activity
20022017
most citedFinite-Time Consensus Problems for Networks of Dynamic Agents

6 citations · 20 across the 17 of their papers we have counts for

collaborators

17 papers

math.OC2017★ 1 cited

Controllability of Heterogeneous Multi-Agent Networks

Bin Zhao, Michael Z. Q. Chen, Yongqiang Guan +1

The existing results on controllability of multi-agents networks are mostly based on homogeneous nodes. This paper focuses on controllability of heterogeneous multi-agent networks,…

eess.SY2017

Delta-operator based consensus analysis of multi-agent networks with link failures

Xue Lin, Yuanshi Zheng, Long Wang

In this paper, a discrete-time multi-agent system is presented which is formulated in terms of the delta operator. The proposed multi-agent system can unify discrete-time and conti…

eess.SY2016★ 1 cited

Distributed Algorithms for Solving a Class of Convex Feasibility Problems

Kaihong Lu, Gangshan Jing, Long Wang

In this paper, a class of convex feasibility problems (CFPs) are studied for multi-agent systems through local interactions. The objective is to search a feasible solution to the c…

eess.SY2016★ 4 cited

Non-Fragility and Partial Controllability of Multi-Agent Systems

Bin Zhao, Yongqiang Guan, Long Wang

Controllability of multi-agent systems is determined by the interconnection topologies. In practice, losing agents can change the topologies of multi-agent systems, which may affec…

eess.SY2015

Leader selection and weight adjustment problems for multi-agent systems

Bin Zhao, Yongqiang Guan, Long Wang

For an uncontrollable system, adding leaders and adjusting edge weights are two methods to improve controllability. In this paper, controllability of multi-agent systems under dire…

eess.SY2014

Consensus of Multi-agent Systems Under State-dependent Information Transmission

Gangshan Jing, Yuanshi Zheng, Long Wang

In this paper, we study the consensus problem for continuous-time and discrete-time multi-agent systems in state-dependent switching networks. In each case, we first consider the n…