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International Journal of Robust and Nonlinear Control
Article . 2021 . Peer-reviewed
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2022
Data sources: zbMATH Open
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Distributed fault‐tolerant time‐varying formation control of heterogeneous multi‐agent systems

Distributed fault-tolerant time-varying formation control of heterogeneous multi-agent systems
Authors: Yi Ren; Ke Zhang; Bin Jiang; Wanglei Cheng; Yong Ding;

Distributed fault‐tolerant time‐varying formation control of heterogeneous multi‐agent systems

Abstract

AbstractThis article investigates the cooperative time‐varying formation control for heterogeneous multi‐agent systems (HMASs) with unknown actuator faults and external disturbances. The HMASs consist of unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). In order to overcome the difficulty of coordinated control caused by the different structures of UAVs and UGVs, the comprehensive dynamics models of HMASs are derived, of which the model uncertainties as well as actuator faults and external disturbances of the models are considered. Subsequently, combining the radial basis function neural networks (RBFNNs) with adaptive technology and boundary layer theory, a distributed fault‐tolerant time‐varying formation control method is designed. The proposed control method is totally distributed. Finally, the effectiveness of the controller is verified by several simulations.

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Keywords

heterogeneous multi-agent systems, distributed control, Adaptive control/observation systems, Multi-agent systems, Sensitivity (robustness), Automated systems (robots, etc.) in control theory, fault-tolerant control, adaptive control

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 10%
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