F
Feng Xiao
Researcher at North China Electric Power University
Publications - 106
Citations - 6732
Feng Xiao is an academic researcher from North China Electric Power University. The author has contributed to research in topics: Consensus & Computer science. The author has an hindex of 28, co-authored 79 publications receiving 5813 citations. Previous affiliations of Feng Xiao include Peking University & University of Alberta.
Papers
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Finite-Time Consensus Problems for Networks of Dynamic Agents
Long Wang,Feng Xiao +1 more
TL;DR: It is proved that if the sum of time intervals, in which the interaction topology is connected, is sufficiently large, the proposed protocols will solve the finite-time consensus problems.
Posted Content
Finite-Time Consensus Problems for Networks of Dynamic Agents
Long Wang,Feng Xiao +1 more
TL;DR: In this article, finite-time state consensus problems for continuous-time multi-agent systems are discussed, and two distributive protocols, which ensure that the states of agents reach an agreement in a finite time, are presented.
Journal ArticleDOI
Brief paper: Finite-time formation control for multi-agent systems
TL;DR: This paper proposes a class of nonlinear consensus protocols, which ensures that the related states of all agents will reach an agreement in a finite time under suitable conditions, and applies these protocols to the formation control, including time-invariant formation, time-varying formation and trajectory tracking.
Journal ArticleDOI
Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching Topology and Time-Varying Delays
Feng Xiao,Long Wang +1 more
TL;DR: In this paper, a distributed consensus algorithm for continuous-time multi-agent systems with discontinuous information transmission is proposed, where the consensus control strategy is implemented based on the state information of each agent's neighbors at some discrete times.
Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching
Feng Xiao,Long Wang +1 more
TL;DR: The main contribution of this paper is to provide a valid distributed consensus algorithm that overcomes the difficulties caused by unreliable communication channels, such as intermittent information transmission, switching communication topology, and time-varying communication delays, and therefore has its obvious practical applications.