The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Neural-Network-Based Adaptive Leader-Following Control for Multiagent Systems With Uncertainties
Abstract
A neural-network-based adaptive approach is proposed for the leader-following control of multiagent systems. The neural network is used to approximate the agent's uncertain dynamics, and the approximation error and external disturbances are counteracted by employing the robust signal. When there is no control input constraint, it can be proved that all the following agents can track the leader's time-varying state with the tracking error as small as desired. Compared with the related work in the literature, the uncertainty in the agent's dynamics is taken into account; the leader's state could be time-varying; and the proposed algorithm for each following agent is only dependent on the information of its neighbor agents. Finally, the satisfactory performance of the proposed method is illustrated by simulation examples.
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Cites
Consensus 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
Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance
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Effective leadership and decision-making in animal groups on the move
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Tracking control for multi-agent consensus with an active leader and variable topology
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Cited by
Observer-based adaptive sliding mode control for nonlinear Markovian jump systems
Li, H., Shi, P., Yao, D., & Wu, L. (2016) · Automatica · doi:10.1016/j.automatica.2015.11.007 · Cited by 533
Peng, Z., Wang, J., & Wang, D. (2018) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2017.2699167 · Cited by 382
Bai, W., Chen, D., Zhao, B., & D'Ariano, A. (2025) · IEEE Transactions on Intelligent Vehicles · doi:10.1109/tiv.2024.3458894 · Cited by 31
Metadata
- Authors
- Cheng, L., Hou, Z.-G., Tan, M., Lin, Y., & Zhang, W.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 2010-08
- Volume
- 21
- Issue
- 8
- Pages
- 1351-1358
- ISSN
- 1045-9227 (ISSN-L)
- 1941-0093
- OpenAlex
- W1991360560
- Cited by
- 342
- References
- 20
- FWCI
- 16.90
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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