The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems
Abstract
Compared with the existing neural network (NN) or fuzzy logic system (FLS) based adaptive consensus methods, the proposed approach can greatly alleviate the computation burden because it needs only to update a few adaptive parameters online. In the multiagent agreement control, the system uncertainties derive from the unknown nonlinear dynamics are counteracted by employing the adaptive NNs; the state delays are compensated by designing a Lyapunov-Krasovskii functional. Finally, based on Lyapunov stability theory, it is demonstrated that the proposed consensus scheme can steer a multiagent system synchronizing to the predefined reference signals. Two simulation examples, a numerical multiagent system and a practical multimanipulator system, are carried out to further verify and testify the effectiveness of the proposed agreement approach.
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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×
“In [6], the consensus problem is analyzed for the multiagent dynamics with fixed and switching topologies, and two classes of consensus methods are introduced for the communication networks without and with time-delays.”
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Cited by
Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
Li, H., Zhao, S., He, W., & Lu, R. (2019) · Automatica · doi:10.1016/j.automatica.2018.10.030 · Cited by 555
Observer-Based Dynamic Event-Triggered Control for Multiagent Systems With Time-Varying Delay
Cao, L., Pan, Y., Liang, H., & Huang, T. (2023) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2022.3226873 · Cited by 340
Ma, L., & Liu, L. (2021) · IEEE Transactions on Systems, Man, and Cybernetics: Systems · doi:10.1109/tsmc.2019.2922393 · Cited by 79
Metadata
- Authors
- Wen, G., Chen, C. L. P., Liu, Y.-J., & Liu, Z.
- Venue
- IEEE Transactions on Cybernetics
- Published
- 2017-08
- Volume
- 47
- Issue
- 8
- Pages
- 2151-2160
- ISSN
- 2168-2267 (ISSN-L)
- 2168-2275
- OpenAlex
- W2530077971
- Cited by
- 387
- References
- 1
- FWCI
- 39.16
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wen, G., Chen, C. L. P., Liu, Y.-J., & Liu, Z. (2017). Neural Network-Based Adaptive Leader-Following Consensus Control for a Class of Nonlinear Multiagent State-Delay Systems. IEEE Transactions on Cybernetics. https://doi.org/10.1109/tcyb.2016.2608499
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