The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Distributed robust finite-time nonlinear consensus protocols for multi-agent systems
Abstract
This paper investigates the robust finite-time consensus problem of multi-agent systems in networks with undirected topology. Global nonlinear consensus protocols augmented with a variable structure are constructed with the aid of Lyapunov functions for each single-integrator agent dynamics in the presence of external disturbances. In particular, it is shown that the finite settling time of the proposed general framework for robust consensus design is upper bounded for any initial condition. This makes it possible for network consensus problems to design and estimate the convergence time offline for a multi-agent team with a given undirected information flow. Finally, simulation results are presented to demonstrate the performance and effectiveness of our finite-time protocols.
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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 4×
“Cao, Ren, and Meng (2010) focused on decentralised finite-time formation tracking of multi-autonomous vehicles with the introduction of decentralised finite-time sliding mode estimators, and they proposed a variable structure-based protocol to achieve finite-time consensus tracking without velocity measurement for fir…”
BackgroundInfluentialCoordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Cited by
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-citationNi, J., Wu, Z., Liu, L., & Liu, C. (2020) · ISA Transactions · doi:10.1016/j.isatra.2019.07.013 · Cited by 105
Fang, X., Cheng, R., Cheng, S., & Fan, Y. (2024) · International Journal of Control, Automation and Systems · doi:10.1007/s12555-022-0594-6 · Cited by 17
Metadata
- Authors
- Zuo, Z., & Tie, L.
- Venue
- International Journal of Systems Science
- Publisher
- Informa UK Limited
- Published
- 2014-06-06
- Volume
- 47
- Issue
- 6
- Pages
- 1366-1375
- ISSN
- 0020-7721 (ISSN-L)
- 1464-5319
- OpenAlex
- W2062551655
- Cited by
- 797
- References
- 2
- FWCI
- 31.59
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zuo, Z., & Tie, L. (2016). Distributed robust finite-time nonlinear consensus protocols for multi-agent systems. International Journal of Systems Science. https://doi.org/10.1080/00207721.2014.925608
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.
