The DOI matches its Crossref record; 29 of the 32 references it cites were found in a registry or an index.
Decentralised event-triggered cooperative control with limited communication
Abstract
This note studies event-triggered control of Multi-Agent Systems (MAS) with first-order integrator dynamics. It extends previous work on event-triggered consensus by considering limited communication capabilities through strict peer-to-peer non-continuous information exchange. The approach provides both a decentralised control law and a decentralised communication policy. Communication events require no global information and are based only on local state errors; agents do not require a global sampling period or synchronous broadcasting as in sampled-data approaches. The proposed decentralised event-triggered control technique guarantees that the inter-event times for each agent are strictly positive. Finally, the ideas in this note are used to consider the practical scenario where agents are able to exchange only quantised measurements of their states.
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In the citing paper
“then all nonZeno trajectories of the system asymptotically achieve multi-agent average consensus.”
From Event-triggered communication and control of networked systems for multi-agent consensus (2019) · cites this paper as Garcia et al. (2013)
In the citing paper
“In general, an algorithm which would guarantee asymptotic convergence to the global initial average when non-quantized information is transmitted by each agent, is instead only able to converge to a bounded region around the initial average in the case where uniform quantizers are implemented at each node.”
From Event-triggered communication and control of networked systems for multi-agent consensus (2019) · cites this paper as Garcia et al. (2013)
In the citing paper
“The states of the agents satisfy lim t →∞ || x i ( t ) -¯ x || ≤ c , where c is a constant which depends on the size of the quantization step and ¯ x = 1 N ∑ N i =0 x i (0).”
From Event-triggered communication and control of networked systems for multi-agent consensus (2019) · cites this paper as Garcia et al. (2013)
Citations
Cites
Event-Triggered Real-Time Scheduling of Stabilizing Control Tasks
Paulo Tabuada, B. (2007) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2007.904277 · Cited by 4,756
Information consensus in multivehicle cooperative control
Ren, W., Beard, R. W., & Atkins, E. M. (2007) · IEEE Control Systems · doi:10.1109/mcs.2007.338264 · Cited by 3,145
IEEE Transactions on Automatic Control
/b, V. G., Schenato, L., & Schenato, L. (2023) · IEEE Transactions on Automatic Control · doi:10.1109/tac.9 · Cited by 2,649
Distributed event-triggered control for multi-agent systems
Dimarogonas, D. V., Frazzoli, E., & Johansson, K. H. (2012) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2011.2174666 · Cited by 2,556
Event-based broadcasting for multi-agent average consensus
Seyboth, G. S., Dimarogonas, D. V., & Johansson, K. H. (2012) · Automatica · doi:10.1016/j.automatica.2012.08.042 · Cited by 1,238
Event-Triggering in Distributed Networked Control Systems
Wang, X., & Lemmon, M. D. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2057951 · Cited by 1,171
Comparison of Riemann and Lebesgue sampling for first order stochastic systems
Åström, K. J., & Bernhardsson, B. (2003) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2002.1184824 · Cited by 998
To Sample or not to Sample: Self-Triggered Control for Nonlinear Systems
Anta, A., & Paulo Tabuada, B. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2042980 · Cited by 871
Distributed Coordination Control of Multiagent Systems While Preserving Connectedness
Ji, M., & Egerstedt, M. (2007) · IEEE Transactions on Robotics · doi:10.1109/tro.2007.900638 · Cited by 866
Stability of continuous-time distributed consensus algorithms
Moreau, L. (2004) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2004.1429377 · Cited by 729
Stable flocking of mobile agents. I. Fixed topology
Tanner, H. G., Jadbabaie, A., & Pappas, G. J. (2004) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2003.1272910 · Cited by 677
Model-Based Event-Triggered Control for Systems With Quantization and Time-Varying Network Delays
García, E., & Antsaklis, P. J. (2012) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2012.2211411 · Cited by 641
Self-citationDistributed Coordination of Multi-agent Networks: Emergent Problems, Models, and Issues
Ren, W., & Cao, Y. (2013) · DIAL (Catholic University of Leuven) · doi:10.1007/978-0-85729-169-1 · Cited by 552
Self-citationDecentralized estimation and control of graph connectivity for mobile sensor networks
Yang, P., Freeman, R. A., Gordon, G. J., Lynch, K., Srinivasa, S. S., & Sukthankar, R. (2009) · Automatica · doi:10.1016/j.automatica.2009.11.012 · Cited by 425
Åström, K. J. (2007) · Springer eBooks · doi:10.1007/978-3-540-74358-3_9 · Cited by 395
Discontinuities and hysteresis in quantized average consensus
Ceragioli, F., Persis, C. D., & Frasca, P. (2011) · Automatica · doi:10.1016/j.automatica.2011.06.020 · Cited by 324
Event-triggered control for multi-agent systems
Dimarogonas, D. V., & Johansson, K. H. (2009) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2009.5399776 · Cited by 313
Cao, Y., & Ren, W. (2009) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1495 · Cited by 251
Self-citationQin, J., & Gao, H. (2012) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2012.2188425 · Cited by 188
Liu, H., Xie, G., & Wang, L. (2009) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.1543 · Cited by 184
Event-triggered broadcasting across distributed networked control systems
Wang, X., & Lemmon, M. D. (2008) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2008.4586975 · Cited by 142
Hayakawa, T., Matsuzawat, T., & Hara, S. (2006) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2006.377708 · Cited by 95
Decentralized Laplacian eigenvalues estimation for networked multi-agent systems
Mauro Franceschelli, A., Gasparri, A., Giua, A., & Carla Seatzu, A. (2009) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2009.5400723 · Cited by 70
Distributed algebraic connectivity estimation for adaptive event-triggered consensus
Aragüés, R., Shi, G., Dimarogonas, D. V., Sagüés, C., & Johansson, K. H. (2012) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2012.6315110 · Cited by 69
Decentralized model-based event-triggered control of networked systems
García, E., & Antsaklis, P. J. (2012) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2012.6314798 · Cited by 51
Self-citationDistributed event-triggered control strategies for multi-agent systems
Dimarogonas, D. V., & Frazzoli, E. (2009) · Allerton Conference on Communication, Control, and Computing · doi:10.1109/allerton.2009.5394897 · Cited by 47
Sampled-data formation control under dynamic directed interaction
Cao, Y., & Ren, W. (2009) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2009.5160192 · Cited by 31
Self-citationQuantized output synchronization of networked passive systems with event-driven communication
Yu, H., & Antsaklis, P. J. (2012) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2012.6314691 · Cited by 19
Self-citationDynamic quasi-decentralized control of networked process systems with limited measurements
Sun, Y., & El‐Farra, N. H. (2011) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2011.5991392 · Cited by 6
Research works printed but not linked: 4
- Aragues R., 2012, Proceedings of the American Control Conference, 32
- Franceschelli M., 2009, Proceedings of Joint 48th IEEE Conf. Decision and Control and 28th Chinese Control Conference, 2717
- Khalil H. K., 2002, Nonlinear systems
- Wang X., 2008, Proceedings of the American Control Conference, 3139
Cited by
Sorted by citations
An Overview of Recent Advances in Event-Triggered Consensus of Multiagent Systems
Ding, L., Han, Q., Ge, X., & Zhang, X. (2017) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2771560 · Cited by 1,191
Kia, S. S., Cortés, J., & Martı́nez, S. (2015) · Automatica · doi:10.1016/j.automatica.2015.03.001 · Cited by 687
Event-triggered communication and control of networked systems for multi-agent consensus
Nowzari, C., Garcia, E., & Cortés, J. (2019) · Automatica · doi:10.1016/j.automatica.2019.03.009 · Cited by 655
Dynamic Event-Triggered and Self-Triggered Control for Multi-agent Systems
Yi, X., Liu, K., Dimarogonas, D. V., & Johansson, K. H. (2018) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2018.2874703 · Cited by 555
Fully Distributed Event-Triggered Protocols for Linear Multiagent Networks
Bin, C., & Li, Z. (2018) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2018.2857723 · Cited by 549
Metadata
- Authors
- Garcia, E., Cao, Y., Yu, H., Antsaklis, P., & Casbeer, D.
- Affiliations
- United States Air Force Research Laboratory (US)
- University of Notre Dame (US)
- Venue
- International Journal of Control
- Publisher
- Informa UK Limited
- Published
- 2013-09
- Volume
- 86
- Issue
- 9
- Pages
- 1479-1488
- ISSN
- 0020-7179 (ISSN-L)
- 1366-5820
- OpenAlex
- W2032898613
- Cited by
- 228
- References
- 32
- Citations by year
- 2026: 1 · 2025: 8 · 2024: 8 · 2023: 17 · 2022: 14 · 2021: 16 · 2020: 24 · 2019: 28 · 2018: 15 · 2017: 26 · 2016: 30 · 2015: 20 · 2014: 19 · 2013: 2
- FWCI
- 31.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Control (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Neural Networks Stability and Synchronization
- Physical Sciences › Engineering › Control and Systems Engineering › Stability and Control of Uncertain Systems
- Keywords
- event-triggered control, multi-agent systems, cooperative control, limited communication, decentralized control, event-triggered consensus, inter-event time
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