Consensus seeking in multiagent systems under dynamically changing interaction topologies

By Wei Ren, R. Beard. 2005

6,562 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Wei Ren
2. Guanrong Chen
3. Wenwu Yu
4. Yongcan Cao
5. Frank L. Lewis
6. Francesco Bullo
7. Long Wang
8. Ali H. Sayed

In Management Science and Operations Research

1. Wei Ren
2. Reza Olfati-Saber
3. Long Wang
4. Yongcan Cao
5. Guanrong Chen
6. Wenjie Dong
7. Frank L. Lewis
8. Feng Xiao

Citations in the corpus

• An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, methodology): “In order to show consensus in multi-agent systems with time-varying network structur es, stochastic matrix theory [ 5]–[7], [10] and convexity analysis [ 11] are often applied.”
• Asynchronous Consensus in Continuous-Time Multi-Agent Systems With Switching Topology and Time-Varying Delays (2006, background): “…ith Sw itching Topology and T im e-Varying D elays 1 Feng Xiao,Long W ang IntelligentControlLaboratory,Center for System s and Control,Departm entof IndustrialEngineering and M anagem ent,and Departm entofM echanicsand Space Technologies,College ofEngineering,Peking University,Beijing 100871,China”
• On the consensus and bipartite consensus in high-order multi-agent dynamical systems with antagonistic interactions (2014, background): “However, a decade ago, thanks to milestone contributions such as [10, 16, 18, 22, 23, 24, 26], a wide stream of literature on these topics started and flourished.”
• Distributed coordination architecture for multi-robot formation control (2008, methodology): “, [2–17]).”
• Formation‐containment analysis and design for high‐order linear time‐invariant swarm systems (2015, background): “[9–13] and references therein).”
• Consensus of a Class of Second-Order Multi-Agent Systems With Time-Delay and Jointly-Connected Topologies (2010, methodology): “Moreover, the work of [3] and [4] extended the results of [2] and presented some more relaxable conditions for consensus of information under dynamically changing topologies.”
• Adaptation, Learning, and Optimization over Networks (2014, background): “Examples of references that discuss applications of consensus implementations include [2, 18, 64, 80, 118, 122, 123, 181, 184, 185, 199, 200, 255].”
• Distributed Average Consensus With Dithered Quantization (2008, background): “Distributed average consensus – the task of ensuring that al l nodes in a network are aware of the average of a set of network-wide measurements – is a fundamental problem in a d hoc network applications, including distributed agreement and synchronization problems [6], distributed c oordination of ”
• Distributed Consensus of Second-Order Multi-Agent Systems With Heterogeneous Unknown Inertias and Control Gains Under a Directed Graph (2016, background): “Consensus has been extensively studied for multi-agent systems described by first-order integrators [5]–[7], and consensus algorithms have been used for decentralized computation [8], distributed optimization [9], and cooperative adaptive identification [10].”
• Distributed consensus over network with noisy links (2009, background): “(see also, [2]); the literature on distributed coordination and control, and self-organized systems [42, 14, 6, 10, 28, 7, 29, 30, 5, 21, 38, 37, 1, 43, 20]; the effects of delay, quantization and link failure [17, 9, 8, 3, 4, 31]; and consensus-based distributed optimization with various effects [2”
• Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint (2016, methodology): “For example, to make model (37) reach consensus, in [11], the parameter γ should be large enough.”
• Technical communique: Consensus of second-order discrete-time multi-agent systems with nonuniform time-delays and dynamically changing topologies (2009, neutral): “In Ren and Beard (2008), the authors proposed a second-order consensus protocol and gave sufficient conditions for the undelayed case with fixed and switching topologies, where the communication graphs are required to have spanning trees all the time.”
• Consensus Tracking of Multi-Agent Systems With Lipschitz-Type Node Dynamics and Switching Topologies (2014, background): “It has been proved that consensus in such multi-agent systems can be achieved if and only if the time-varying network topology contains a directed spanning tree jointly as the network evolves over time [10].”
• Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties (2010, background): “This work was supported in part by the National Natural Science Foundation of China, under Grants 60 775 043, 60 725 309, and 60 805 038, by the National Hi-Tech Research and Development Program (863) of China, under Grant 2009AA04Z201, and by the Beijing Municipal Education Commission Science and…”
• Consensus of data‐sampled multi‐agent systems with Markovian switching topologies (2012, background): “In [7], the consensus seeking problem of multi-agent systems with dynamically changing interaction topologies is studied, where both discrete and continuous consensus algorithms are considered.”