학술논문
Robust Asymptotic Estimation of Sensor Faults for Continuous-time Interconnected Systems
Document Type
Article
Author
Source
(2022): 3170-3178.
Subject
Language
Korean
ISSN
15986446
Abstract
This paper concerns the problem of robust asymptotic estimation of sensor faults for continuous-time interconnected systems. Firstly, an augmented singular interconnected system is constructed, which is equivalent to the original interconnected system. Then for the ingular system, the distributed fault estimation observer based on the correlation between subsystems is proposed to achieve a robust asymptotic estimation of sensor faults. Furthermore, the online fault estimator is designed to estimate unknown sensor faults in real time. Finally, the simulation results verify the feasibility and effectiveness of the proposed design techniques.
This paper concerns the problem of robust asymptotic estimation of sensor faults for continuous-time interconnected systems. Firstly, an augmented singular interconnected system is constructed, which is equivalent to the original interconnected system. Then for the ingular system, the distributed fault estimation observer based on the correlation between subsystems is proposed to achieve a robust asymptotic estimation of sensor faults. Furthermore, the online fault estimator is designed to estimate unknown sensor faults in real time. Finally, the simulation results verify the feasibility and effectiveness of the proposed design techniques.
This paper concerns the problem of robust asymptotic estimation of sensor faults for continuous-time interconnected systems. Firstly, an augmented singular interconnected system is constructed, which is equivalent to the original interconnected system. Then for the ingular system, the distributed fault estimation observer based on the correlation between subsystems is proposed to achieve a robust asymptotic estimation of sensor faults. Furthermore, the online fault estimator is designed to estimate unknown sensor faults in real time. Finally, the simulation results verify the feasibility and effectiveness of the proposed design techniques.