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Adaptive Sensor Fault-Tolerant Control for Distributed Parameter Systems

delete2026-02-18
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PRE
AI
王雅昕 cover
王雅昕 (Yaxin Wang)
D
Danwei Zhang
H
Han‐Xiong Li
T
Tianyou Chai
DOI:10.1109/TCYB.2026.3662494delete
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Abstract

Abstract

En 中文
Sensor drift, which is the deviation of measurements over time, can compromise controller performance and cause system instability. To address this challenge, this article proposes a proactive fault-tolerant control strategy for distributed parameter systems. The proposed strategy is based on a time-varying spatiotemporal model that captures system dynamics. The initial phase of this research involves designing an adaptive observer-based detector to identify the temporal and spatial locations of fault occurrences accurately. Subsequently, a joint state-and-fault estimator is developed to accurately reconstruct the fault profile, even in the presence of strong state–fault coupling. The controller provides real-time corrections based on the estimation results. A rigorous stability analysis of the closed-loop system is provided, and the effectiveness of the controller is validated through experiments involving two distinct fault scenarios.
Keywords:
Distributed parameter system (DPS)
fault detection
fault-tolerant control (FTC)
thermal process

Journal

IEEE Transactions on Cybernetics cover
IEEE Transactions on Cybernetics
IF:
10.5
Papers:
1.1W
Citations:
5.0W

Organization

C
central south university of forestry and technology
Scholars:
1.3K
Papers: 384
Citations: 0
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Northeastern University
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2.3W
Papers: 1.5W
Citations: 3.0W
C
city university of hong kong
Scholars:
4.9K
Papers: 2.9K
Citations: 2
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