Distributed Event-Triggered Control for Multi-Agent Systems

By Dimos V. Dimarogonas, Emilio Frazzoli, Karl Henrik Johansson. IEEE Transactions on Automatic Control, 2012

2,234 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/ff3db4802c3d30c3fc8c57146e4b3aedaaa16f4b

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In Computer Networks and Communications

1. Qing-Long Han
2. Xiaohua Ge
3. Xianming Zhang
4. Wei Ren
5. Lei Ding
6. Yongcan Cao
7. Zhongkui Li
8. Jorge Cortés

In Control and Systems Engineering

1. Qing-Long Han
2. Xianming Zhang
3. Xiaohua Ge
4. Lei Ding
5. Tingwen Huang
6. Gang Feng
7. Zidong Wang
8. Hongyi Li

Citations in the corpus

• On Event Triggered Tracking for Nonlinear Systems (2013, methodology): “re chosen as sinusoidal signals with peak-to-peak amplitude 2. This was done by choosing [x d;1(0);x d;2(0);v(0)] = [ˇ=3;1;0] and v_ = cos(t). The initial condition of the plant was [x 1(0);x 2(0)] = [5; 1]. The parameter d 1 was chosen as 2:5 while the actual uniform bounds on x d;1 and k[x d;v]kwe”
• Fully Distributed Event-Triggered Protocols for Linear Multiagent Networks (2018, background): “…objective of this paper is to address the event-triggered consensus problem for the agents in (1), by ensuring that lim t →∞ k x i − x j k = 0 , i, j = 1 , · · · , N , and excluding the Zeno behavior, i.e., there does not exist an infinite number of events within a finite period of time [11], [15].”
• Distributed Control Strategies for Microgrids: An Overview (2020, neutral): “…[85]–[88], such as second-order consensus [89]–[91], adaptive consensus [92]–[94], consensus with constraints [95], [96], event-triggered consensus [97], [98], finite-time consensus [99], [100], delay-robust consensus, linear consensus protocol [101], [102],heterogeneous consensus [103], [104],…”
• A Survey on Aerial Swarm Robotics (2018, background): “undirected graphs [75], consensus on balanced digraphs [76], convergence to a trajectory on time-varying graphs [77], and synchronization of general nonlinear dynamics on balanced graphs [28], [73], [78].”
• Event-based broadcasting for multi-agent average consensus (2013, methodology): “An event-based implementation of the consensus protocol is developed in Dimarogonas, Frazzoli, and Johansson (2012).”
• 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].”
• Secure Cooperative Event-Triggered Control of Linear Multiagent Systems Under DoS Attacks (2020, background): “When the network suffers from DoS attacks, unlike [24]–[29], the controller design and analysis fail since certain control update attempts are not successful.”
• Event-Triggered Schemes on Leader-Following Consensus of General Linear Multiagent Systems Under Different Topologies (2017, neutral): “It is called centralized ETS (centralized-ETS) [32].”
• Event-based consensus of multi-agent systems with general linear models (2014, methodology): “However, the Laplacian matrix of communication topologymust be symmetric in Dimarogonas et al. (2012), Fan et al. (2013) and Seyboth et al. (2013). In this paper, we consider the event-based consensus problem for N identical individuals, modeled by general LTI systems.”
• Distributed Formation Control of Networked Multi-Agent Systems Using a Dynamic Event-Triggered Communication Mechanism (2017, background): “For example, a prevalent event triggering condition has the form [18], [19], [26]–[29]: α ( (cid:2) e i (cid:2) ) − σ i β ( (cid:2) x i (cid:2) ) > 0 , where α ( · ) and β ( · ) represent two class K ∞ functions; e i is the state error between the current state and the last triggered state of agent…”