Event-based broadcasting for multi-agent average consensus
By Georg S. Seyboth, Dimos V. Dimarogonas, Karl Henrik Johansson. at - Automatisierungstechnik, 2013
1,204 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/72850a183161f091f147071c2b4688d351651654
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In Computer Networks and Communications
In Control and Systems Engineering
Citations in the corpus
- A Distributed Dynamic Event-Triggered Control Approach to Consensus of Linear Multiagent Systems With Directed Networks (2020, background): “For instance, with the communication times determined by some certain event-triggered schemes, the consensus problem was addressed for multiagent systems [11] with first-order dynamics [12], [13], or second-order dynamics [14], [15], or high order linear dynamics [16]–[19].”
- Synchronization of Complex Networks via Aperiodically Intermittent Pinning Control (2015, background): “It includes impulsive control, sample-data control [16], node-to-node pinning control [17]–[20], fast-switching strategy [21], edge snapping pinning control ([22], [23]), and the event-triggered scheduling algorithm ([24]–[31]).”
- Event-based synchronisation of linear discrete-time dynamical networks (2015, background): “In the case of single-integrator or double-integrator, the event-triggering function can be state-dependent [36, 39] and state-independent [37].”
- Observer-Based Event-Triggering Consensus Control for Multiagent Systems With Lossy Sensors and Cyber-Attacks (2017, neutral): “For instance, the eventbased control strategies have been discussed in [15] for singleintegrator systems with state-dependent trigger functions and in [29] for double-integrator ones with state-independent trigger functions.”
- Event-based consensus of multi-agent systems with general linear models (2014, background): “However, the Laplacian matrix of communication topologymust be symmetric in Dimarogonas et al. (2012), Fan et al. (2013) and Seyboth et al. (2013).”
- Event-Triggered Control for Consensus of Multiagent Systems With Fixed/Switching Topologies (2018, background): “[29] investigated first-order dynamics of agents, then extended to double-integrator dynamics of agents.”
- Decentralized event-triggered consensus with general linear dynamics (2014, methodology): “The single integrator ismodeled as a ZOHand the double integrator is modeled similar to Seyboth et al. (2013), that is, velocity as a ZOH and position as a first-order-hold model.”
- Dynamic Event-Triggered and Self-Triggered Control for Multi-agent Systems (2019, background): “function (7) proposed in [10] with c0 = 0, c1 = √ ηi(0) √ θiLii , α = βi 2 .”
- Recent Advances in Consensus of Multi-Agent Systems: A Brief Survey (2017, methodology): “2) Threshold: The state-independent thresholds [83], [120], [122] are some decreasing functions with nonnegative lower bounds, which usually take the form of ci + die−αi t with ci + di > 0, ci ≥ 0, di ≥ 0, and αi > 0.”
- A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems (2014, result): “According to Sun and Wang (2009), we have that z(t) = (E1 ⊗ In)x(t), x(t) = (E2 ⊗ In)z(t) + (1 ⊗ In)x1(t), E(kh) = (E1 ⊗ In)e(kh) and e(kh) = (E2 ⊗ In)E(kh) + (1 ⊗ In)e1(kh), respectively, where E1 = [1,−IN−1] and E2 = [0,−IN−1]T .”
- An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems (2018, neutral): “Subsequently, a great number of research results on distributed event-triggered consensus of MASs have been reported from various perspectives [55]–[61], which have been briefly reviewed in [62]–[64].”