H
Huiyang Liu
Researcher at Peking University
Publications - 5
Citations - 883
Huiyang Liu is an academic researcher from Peking University. The author has contributed to research in topics: Consensus & Sampling (statistics). The author has an hindex of 5, co-authored 5 publications receiving 773 citations.
Papers
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Journal ArticleDOI
Necessary and sufficient conditions for containment control of networked multi-agent systems
TL;DR: In this paper, containment control problems for networked multi-agent systems with multiple stationary or dynamic leaders are investigated and the topologies that characterize the interaction among the leaders and the followers are directed graphs.
Proceedings ArticleDOI
Consensus in networked multi-agent systems via sampled control: Switching topology case
TL;DR: The sampled control protocols are induced from continuous-time linear consensus protocol by using periodic sampling technology and zero-order hold circuit and an algebraic-type necessary and sufficient condition is obtained under which consensus is achieved.
Journal ArticleDOI
Necessary and sufficient conditions for solving consensus problems of double-integrator dynamics via sampled control
TL;DR: The sampled control protocol is induced from continuous-time linear consensus protocol by using periodic sampling technology and zero-order hold circuit and is equivalently transformed into a linear discrete-time system.
Journal ArticleDOI
Containment of linear multi-agent systems under general interaction topologies
TL;DR: By introducing a leader into the multi-agent team, a pinning control strategy is designed for a part of agents such that all the agents can reach a consensus with the leader asymptotically.
Proceedings ArticleDOI
Consensus of multi-agent systems with time-varying delay
TL;DR: This paper provides consensus analysis for networked continuous-time multi-agent systems via sampled control by providing a valid distributed consensus algorithm that explicitly describes which state information may be received in the concerning sampling interval.