Event‐Triggered Fault‐Tolerant Formation Tracking for Quadrotor Swarms Under Fully Distributed Communication

ABSTRACT This article addresses the problem of fully distributed fault‐tolerant formation control for leader‐follower quadrotor swarm systems subject to actuator faults and external disturbances. An event‐based adaptive sliding‐mode control strategy is designed, operating without any global information. Finite‐time reachability of the sliding surface is ensured, which in turn guarantees robust stability with respect to faults and disturbances and accelerates the convergence. In addition, Lyapunov‐based analysis is carried out to derive sufficient conditions for the desired formation performance. Furthermore, simulation outcomes illustrate that the proposed method achieves the desired formation performance, avoids Zeno behavior, and achieves fault‐tolerant control with reduced computational burden.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2026-01-29
DOI
https://doi.org/10.1002/rnc.70413
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Event‐Triggered Fault‐Tolerant Formation Tracking for Quadrotor Swarms Under Fully Distributed Communication

Pengpeng Chen, Xisheng Dai, Qingnan Huang, Shanghong Tan
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
article

Event‐Triggered Fault‐Tolerant Formation Tracking for Quadrotor Swarms Under Fully Distributed Communication

Pengpeng Chen, Xisheng Dai, Qingnan Huang, Shanghong Tan
article en

Abstract

ABSTRACT This article addresses the problem of fully distributed fault‐tolerant formation control for leader‐follower quadrotor swarm systems subject to actuator faults and external disturbances. An event‐based adaptive sliding‐mode control strategy is designed, operating without any global information. Finite‐time reachability of the sliding surface is ensured, which in turn guarantees robust stability with respect to faults and disturbances and accelerates the convergence. In addition, Lyapunov‐based analysis is carried out to derive sufficient conditions for the desired formation performance. Furthermore, simulation outcomes illustrate that the proposed method achieves the desired formation performance, avoids Zeno behavior, and achieves fault‐tolerant control with reduced computational burden.

International Journal of Robust and Nonlinear Control
Guangxi University of Science and Technology (CN)
Natural Science Foundation of Guangxi Province
Openalex Percentile: Top 78%
Distributed Control Multi-Agent Systems
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