Network Topology and Communication Data Rate for Consensusability of Discrete-Time Multi-Agent Systems

By Keyou You, Lihua Xie. IEEE Transactions on Automatic Control, 2011

609 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Public Health, Environmental and Occupational Health

View Paper: https://www.semanticscholar.org/paper/0122e7e784aae390dcc230f23bc79e8d19073092

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. Qing-Long Han
2. Guanrong Chen
3. Zhongkui Li
4. Frank L. Lewis
5. Z. Duan
6. Lei Ding
7. Wei Ren
8. Housheng Su

In Public Health, Environmental and Occupational Health

1. Housheng Su
2. Guanrong Chen
3. Zhongkui Li
4. Karl Henrik Johansson
5. Z. Duan
6. Frank L. Lewis
7. Lei Ding
8. Tao Yang

Citations in the corpus

• Dynamic Event-Triggered and Self-Triggered Control for Multi-agent Systems (2019, background): “There are also many papers that study agents with discrete-time dynamics or continuous-time dynamics but discontinuous information transmission, e.g., [2], [3].”
• Event-based synchronisation of linear discrete-time dynamical networks (2015, methodology): “Just like in [19, 22], the feasibility of the Riccati design in this paper can be easily checked by verifying Assumptions 3 and 4.”
• A distributed event-triggered transmission strategy for sampled-data consensus of multi-agent systems (2014, background): “Notice that, in some existing results (Li, Duan, Chen, & Huang, 2010; You & Xie, 2011), the controller is required to be given a priori; otherwise, the methods are inapplicable.”
• Robust semi‐global coordinated tracking of linear multi‐agent systems with input saturation (2015, background): “In previous studies, the coordinated tracking problem was first discussed for singleintegrator kinematics [14], [15], [16], and then generalized to double-integrator dynamics [17], [18], [19], [20], [21], [22] and general linear or nonlinear dynamics [23], [24], [25], [26], [27], [28], [29], [30].”
• Consensus of high-order multi-agent systems with large input and communication delays (2014, background): “…in the past several decades (see Duan, Wang, Chen, & Huang, 2008, Hong, Chen, & Bushnell, 2006, Ishii & Tempo, 2010, Li & Jiang, 2009, Li & Xie, 2011, Lv et al., 2011, Qin, Gao, & Zheng, 2011, Ren & Cao, 2011, Su et al., 2009, Su, Wang, & Chen, 2010, You & Xie, 2011b and the references therein).”
• Global consensus for discrete-time multi-agent systems with input saturation constraints (2014, background): “As shown in You and Xie (2011), the asymptotically stable modes can be ignored since we can set the corresponding gain matrix to zero.”
• Observer-Based Event-Triggering Consensus Control for Multiagent Systems With Lossy Sensors and Cyber-Attacks (2017, neutral): “Some representative results have been proposed to address the consensus problems with nonuniform or uniform time-delays, dynamically changing topologies, limited communication, and external disturbances (see [19], [34], [35], [37] and the references therein).”
• Distributed robust consensus control of multi-agent systems with heterogeneous matching uncertainties (2013, background): “Note that because of the existence of the uncertainties, the consensus problem in this case becomes quite challenging to solve and the consensus algorithms given in [9,10,11,12,19,20,21] are not applicable any more.”