An Adaptive Fault-Tolerant Control Scheme for Heterogeneous Multiagent Systems

This article proposes an adaptive fault-tolerant control (FTC) scheme for heterogeneous multiagent systems with time-varying communication link faults and actuator faults. First, the communication link faults, including the channel signal fading and cyber bias attack, is considered, and the communication link fault compensation controller is designed through introducing the adaptive signals with the estimate of the norms of the faulty matrix. Then, by using the minimum eigenvalue of the control gain matrix, the minimum-eigenvalue-based adaptive fault-tolerant controller is proposed to compensate for the time-varying actuator loss of effectiveness and bias faults. Moreover, the convergence performance analysis of the developed FTC algorithm is given based on the Lyapunov theory. The simulation results carried out on the quadrotors-unmanned ground vehicles formation systems validate the effectiveness of the theoretical results.

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Publication Details

Journal
IEEE Transactions on Systems Man and Cybernetics Systems
Published
2024-11-28
DOI
https://doi.org/10.1109/tsmc.2024.3496717
Citations
16
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
5.25

Funders

Controls
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An Adaptive Fault-Tolerant Control Scheme for Heterogeneous Multiagent Systems

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An Adaptive Fault-Tolerant Control Scheme for Heterogeneous Multiagent Systems

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article en
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Abstract

This article proposes an adaptive fault-tolerant control (FTC) scheme for heterogeneous multiagent systems with time-varying communication link faults and actuator faults. First, the communication link faults, including the channel signal fading and cyber bias attack, is considered, and the communication link fault compensation controller is designed through introducing the adaptive signals with the estimate of the norms of the faulty matrix. Then, by using the minimum eigenvalue of the control gain matrix, the minimum-eigenvalue-based adaptive fault-tolerant controller is proposed to compensate for the time-varying actuator loss of effectiveness and bias faults. Moreover, the convergence performance analysis of the developed FTC algorithm is given based on the Lyapunov theory. The simulation results carried out on the quadrotors-unmanned ground vehicles formation systems validate the effectiveness of the theoretical results.

IEEE Transactions on Systems Man and Cybernetics SystemsVol. 55(2)
Concordia University (CA), Anhui Polytechnic University (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Climate action
Openalex Percentile: Top 4%
Fault Detection and Control Systems
5.25
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