4 citations · 9 across the 7 of their papers we have counts for
7 papers
Game-based coalescence over multi-agent systems
Jingying Ma, Jinming Du, Yuanshi Zheng
Coalescence, as a kind of ubiquitous group behavior in the nature and society, means that agents, companies or other substances keep consensus in states and act as a whole. This pa…
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…
Consensus of Hybrid Multi-agent Systems
Yuanshi Zheng, Jingying Ma, Long Wang
In this paper, we consider the consensus problem of hybrid multi-agent system. First, the hybrid multi-agent system is proposed which is composed of continuous-time and discrete-ti…
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…
Optimal topology of multi-agent systems with two leaders: a zero-sum game perspective
Jingying Ma, Yuanshi Zheng, Bin Wu +1
It is typical to assume that there is no conflict of interest among leaders. Under such assumption, it is known that, for a multi-agent system with two leaders, if the followers' i…
Consensus of switched multi-agent systems
Yuanshi Zheng, Jingying Ma, Long Wang
In this paper, we consider the consensus problem of switched multi-agent system composed of continuous-time and discrete-time subsystems. By combining the classical consensus proto…
Containment control of multi-agent systems with measurement noises
Yuanshi Zheng, Tao Li, Long Wang
In this paper, containment control of multi-agent systems with measurement noises is studied under directed networks. When the leaders are stationary, a stochastic approximation ty…