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Cited by 329

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control

Bu, Xuhui, Hou, Zhongsheng, Zhang, Hongwei·2018·IEEE Transactions on Neural Networks and Learning Systems

Abstract

This paper investigates the data-driven consensus tracking problem for multiagent systems with both fixed communication topology and switching topology by utilizing a distributed model free adaptive control (MFAC) method. Here, agent's dynamics are described by unknown nonlinear systems and only a subset of followers can access the desired trajectory. The dynamical linearization technique is applied to each agent based on the pseudo partial derivative, and then, a distributed MFAC algorithm is proposed to ensure that all agents can track the desired trajectory. It is shown that the consensus error can be reduced for both time invariable and time varying desired trajectories. The main feature of this design is that consensus tracking can be achieved using only input-output data of each agent. The effectiveness of the proposed design is verified by simulation examples.

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Metadata

Authors
Bu, X., Hou, Z., & Zhang, H.
Venue
IEEE Transactions on Neural Networks and Learning Systems
Published
2018-05
Volume
29
Issue
5
Pages
1514-1524
ISSN
  • 2162-237X (ISSN-L)
  • 2162-2388
OpenAlex
W2595461628
Cited by
329
References
28
FWCI
13.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control. https://app.cochat.ai/papers/10.1109/tnnls.2017.2673020
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Bu, X., Hou, Z., & Zhang, H. (2018). Data-Driven Multiagent Systems Consensus Tracking Using Model Free Adaptive Control. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/tnnls.2017.2673020

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