Stochastic Event-Triggered Fault-Tolerant Control of Linear Systems Against Multi-Channel Stochastic Actuator Faults

This paper investigates the event-triggered fault-tolerant control for linear systems under stochastic false data injection attacks and multi-channel stochastic actuator faults. By actively using the random distribution information of fault intensity, a stochastic event-triggered communication strategy is proposed, which can effectively enhance the faulty tolerance of control system compared with the fault-independent event-triggered scheme. To capture the behaviors of stochastic attacks and actuator faults, the closed-loop system is modeled as a sampled-data system with multiple Bernoulli stochastic variables and uncertain input matrices consisting of faulty intervals. By a two-sided looped-functional approach, some criteria of fault tolerance analysis and controller design are derived. Finally, a UAV system is utilized to validate the advantages of the proposed control strategy.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/fasta65681.2025.11138492
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Stochastic Event-Triggered Fault-Tolerant Control of Linear Systems Against Multi-Channel Stochastic Actuator Faults

Dawei Zhang, Na Pang, Xuan Yang
Fault Detection and Control Systems
article

Stochastic Event-Triggered Fault-Tolerant Control of Linear Systems Against Multi-Channel Stochastic Actuator Faults

Dawei Zhang, Na Pang, Xuan Yang
article en

Abstract

This paper investigates the event-triggered fault-tolerant control for linear systems under stochastic false data injection attacks and multi-channel stochastic actuator faults. By actively using the random distribution information of fault intensity, a stochastic event-triggered communication strategy is proposed, which can effectively enhance the faulty tolerance of control system compared with the fault-independent event-triggered scheme. To capture the behaviors of stochastic attacks and actuator faults, the closed-loop system is modeled as a sampled-data system with multiple Bernoulli stochastic variables and uncertain input matrices consisting of faulty intervals. By a two-sided looped-functional approach, some criteria of fault tolerance analysis and controller design are derived. Finally, a UAV system is utilized to validate the advantages of the proposed control strategy.

Shandong University (CN)
Openalex Percentile: Top 70%
Fault Detection and Control Systems
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