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LMI-based H−/H∞ observer design in low frequency domain with application in fault detection

Xiaojian Li, Guang‐Hong Yang

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Abstract

This paper deals with the robust fault detection (FD) problem in low frequency domain for linear time-delay systems. The Hinfinnorm and H-index are employed to measure the robustness to unknown inputs and the sensitivity to faults, respectively. The main results include derivation of a sufficient condition for the existence of a robust fault detection observer and a construction of it based on the linear matrix inequality (LMI) solution parameters. Finally, numerical simulation demonstrates the effectiveness of the presented methodology.

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What this paper is about

This paper deals with the robust fault detection (FD) problem in low frequency domain for linear time-delay systems. The Hinfinnorm and H-index are employed to measure the robustness to unknown inputs and the sensitivity to faults, respectively. The main results include derivation of a sufficient condition for the existence of a robust fault detection observer and a construction of it based on the linear matrix inequality (LMI) solution parameters. Finally, numerical simulation demonstrates the effectiveness of the presented methodology.

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Available abstract

This paper deals with the robust fault detection (FD) problem in low frequency domain for linear time-delay systems. The Hinfinnorm and H-index are employed to measure the robustness to unknown inputs and the sensitivity to faults, respectively. The main results include derivation of a sufficient condition for the existence of a robust fault detection observer and a construction of it based on the linear matrix inequality (LMI) solution parameters. Finally, numerical simulation demonstrates the effectiveness of the presented methodology.

Key concepts: Robustness (evolution), Linear matrix inequality, Frequency domain, Fault detection and isolation, Control theory (sociology), Observer (physics), Norm (philosophy), Computer science

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