Consensus of Multi-Agent Systems With Diverse Input and Communication Delays
By Yu-Ping Tian, Chenglin Liu. 2008
574 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
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In Computer Networks and Communications
Citations in the corpus
- An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination (2012, methodology): “Various approaches, including Lyapunov functions [127], [131], matrix theory [115], [132], [135], [136], stochastic matrices [133], and linear matrix inequalities [130], [131], have been adopted, and some necessary and/or sufficient conditions have been derived for guaranteeing sampled-data…”
- Necessary and Sufficient Conditions for Consensus of Delayed Fractional‐order Systems (2012, background): “One is the communication delay which only affects the information state received from neighbors of each agent [20].”
- Consensus in multi‐agent systems with communication constraints (2012, background): “Recently, considerable effort has been made to study the emergence of consensus behaviors in multi-agent systems, with many profound results established [9–32].”
- Leader-following consensus of multi-agent systems under fixed and switching topologies (2010, background): “Some other relevant research topics have also been addressed, such as agreement over random networks [14], coordination and consensus of networked agents with noisy measurements [15], networks with timedelays [16,17], consensus filters [5].”
- Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology (2011, background): “The extension to the case where there exist both communication and input delays was studied in [15].”
- Consensus of multi‐agent systems with nonlinear dynamics and sampled‐data information: a delayed‐input approach (2013, background): “In fact, extensive research on the consensus problem is still ongoing today, such as consensus-seeking subjected to stochastic disturbances [13, 14], consensus with diverse time delays [15], and consensus with higher-order dynamics [16,17].”
- Some necessary and sufficient conditions for second-order consensus in multi-agent dynamical systems (2010, background): “In Bliman and Ferrari-Trecate (2008) and Tian and Liu (2008), some sufficient conditions are derived for the first-order consensus in delayed multi-agent systems.”
- On the general consensus protocol of multi-agent systems with double-integrator dynamics (2009, background): “Tian and Liu [15] 25 considered the consensus of multi-agent systems with diverse input and communication delays and 26 obtained sufficient conditions for the consensus through frequency-domain analysis.”
- Consensus of Multi-Agent Systems With Unbounded Time-Varying Delays (2010, background): “[21] studied the average consensus problems for undirected networks of dynamic agents with integrator dynamics and bounded communication delays; [22] investigated the robust consensus control for model (3) with external disturbances and model uncertainty on fixed and switching topologies; [23] studi”
- Decentralized Consensus Control of a Rigid-Body Spacecraft Formation with Communication Delay (2016, background): “Consensus problems in multi-agent systems with time delay have been considered in the sense of translational control [8, 9], attitude control [14–16], or consensus problem of multi-agent systems in general [17] with input and/or communication delays for different communication topologies.”
- Consensus of Data-Sampled Multi-Agent Systems With Random Communication Delay and Packet Loss (2010, background): “Based on the frequency-domain analysis, [8] shows that the first-order consensus condition is dependent on input delays but independent of communication delays.”
- Consensus for multi‐agent systems under double integrator dynamics with time‐varying communication delays (2012, background): “As for the dynamics of the multi-agent systems investigated in the literature, there are discrete dynamics [3, 4, 7, 8], single integrator dynamics [5, 9–11], and higher-order (including double) integrator dynamics [12–18].”
- Consensus of multi-agent systems with intrinsic nonlinear dynamics and sampled-data information (2011, background): “In fact, active research on consensus problems is still ongoing today, such as consensus seeking under stochastic disturbances [9], [10], consensus over random networks [11], [12], consensus with diverse time-delays [13], and high-order consensus [14]–[16].”