The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
A new class of finite-time nonlinear consensus protocols for multi-agent systems
Abstract
This paper is devoted to investigating the finite-time consensus problem for a multi-agent system in networks with undirected topology. A new class of global continuous time-invariant consensus protocols is constructed for each single-integrator agent dynamics with the aid of Lyapunov functions. In particular, it is shown that the settling time of the proposed new class of finite-time consensus protocols is upper bounded for arbitrary initial conditions. This makes it possible for network consensus problems that the convergence time is designed and estimated offline for a given undirected information flow and a group volume of agents. Finally, a numerical simulation example is presented as a proof of concept.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788 · cited 2×
“If we set p = q = 1, the two protocols are degenerated into the typical linear consensus protocol presented by Ren and Beard (2005) which achieves asymptotical agreement.”
BackgroundMethodConsensus seeking in multiagent systems under dynamically changing interaction topologies
Ren, W., & Beard, R. W. (2005) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2005.846556 · Cited by 6,569
Finite-Time Stability of Continuous Autonomous Systems
Bhat, S. P., & Bernstein, D. S. (2000) · SIAM Journal on Control and Optimization · doi:10.1137/s0363012997321358 · Cited by 5,510
Information consensus in multivehicle cooperative control
(2007) · IEEE Control Systems · doi:10.1109/mcs.2007.338264 · Cited by 3,156
Flocks, herds, and schools: A quantitative theory of flocking
Toner, J., & Tu, Y. (1998) · Physical Review E · doi:10.1103/physreve.58.4828 · Cited by 1,626
Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms
Bullo, F., Cortés, J., & Martínez, S. (2009) · Princeton University Press eBooks · doi:10.1515/9781400831470 · Cited by 1,509
Finite-Time Consensus Problems for Networks of Dynamic Agents
Wang, L., & Xiao, F. (2010) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2010.2041610 · Cited by 1,170
On Maximizing the Second Smallest Eigenvalue of a State-Dependent Graph Laplacian
Kim, Y., & Mesbahi, M. (2006) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2005.861710 · Cited by 593
Cao, Y., Ren, W., & Meng, Z. (2010) · Systems & Control Letters · doi:10.1016/j.sysconle.2010.06.002 · Cited by 405
Formation control of VTOL Unmanned Aerial Vehicles with communication delays
Abdessameud, A., & Tayebi, A. (2011) · Automatica · doi:10.1016/j.automatica.2011.08.042 · Cited by 366
Cited by
An Overview of Recent Advances in Fixed-Time Cooperative Control of Multiagent Systems
Zuo, Z., Han, Q.-L., Ning, B., Ge, X., & Zhang, X.-M. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2817248 · Cited by 658
Self-citationA class of predefined-time stable dynamical systems
Sánchez-Torres, J. D., Gómez-Gutiérrez, D., López, E., & Loukianov, A. G. (2018) · IMA Journal of Mathematical Control and Information · doi:10.1093/imamci/dnx004 · Cited by 570
Fixed-Time Leader-Following Consensus for Second-Order Multiagent Systems With Input Delay
Ni, J., Liu, L., Liu, C., & Liu, J. (2017) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2017.2701775 · Cited by 328
Distributed Optimization for Multiagent Systems: An Edge-Based Fixed-Time Consensus Approach
Ning, B., Han, Q.-L., & Zuo, Z. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2766762 · Cited by 328
Self-citationCao, S., Sun, L., Jiang, J., & Zuo, Z. (2023) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3116713 · Cited by 221
Self-citation
Metadata
- Authors
- Zuo, Z., & Tie, L.
- Venue
- International Journal of Control
- Publisher
- Informa UK Limited
- Published
- 2013-09-13
- Volume
- 87
- Issue
- 2
- Pages
- 363-370
- ISSN
- 0020-7179 (ISSN-L)
- 1366-5820
- OpenAlex
- W2017011168
- Cited by
- 676
- References
- 17
- FWCI
- 18.06
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A new class of finite-time nonlinear consensus protocols for multi-agent systems. https://app.cochat.ai/papers/10.1080/00207179.2013.834484
- The paper
- Zuo, Z., & Tie, L. (2014). A new class of finite-time nonlinear consensus protocols for multi-agent systems. International Journal of Control. https://doi.org/10.1080/00207179.2013.834484
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
