UIO-based fault detection and isolation for a class of neutral system

Elhsoumi, Aicha; Harabi, Rafika El; Naoui, Saloua Bel Hadj Ali; Abdelkrim, Mohamed Naceur

doi:10.1109/ssd.2011.5767458

Cited by 9 publications

(4 citation statements)

References 21 publications

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“…Thus far, FDD technology has gradually become one of the most popular research directions in the control field as control systems become increasingly complex . FDD problems have been widely researched in numerous practical systems, including induction motors, wind turbines, power systems, and chemical systems …”

Section: Introductionmentioning

confidence: 99%

State and fault estimation for nonlinear recurrent neural network systems: Experimental testing on a three‐tank system

Zhang

Feng

et al. 2020

Can J Chem Eng

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An observer is presented for the simultaneous estimation of the system state and actuator and sensor faults of a discrete recurrent neural network (RNN) system. The presented approach enables disturbance attenuation and guarantees observer convergence. First, the discrete RNN is converted to a discrete linear parameter varying (LPV) model. Then, the LPV model is further transformed into a descriptor system by extending the system state and sensor fault. Next, an H ∞ observer is presented for the simultaneous estimation of the extended state and actuator fault of the descriptor system. Finally, the problem of observer design is translated into solving a linear matrix inequality. Experimental tests on a three-tank system have validated the effectiveness and correctness of the presented method.

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Section: Introductionmentioning

confidence: 99%

State and fault estimation for nonlinear recurrent neural network systems: Experimental testing on a three‐tank system

Zhang

Feng

et al. 2020

Can J Chem Eng

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“…Recently, the study of fault diagnosis for time‐delay systems has attracted increasing attention . Nevertheless, few results have been presented in the case of neutral time‐delay systems . Based on the type of models used for representing the normal and the faulty behavior, these approaches can be classified broadly as data‐driven, expert‐knowledge based systems, and analytical model based methods.…”

Section: Introductionmentioning

confidence: 99%

Unknown Input Fault Detection and Isolation Observer Design for Neutral Systems

Elhsoumi¹,

Ali²,

Harabi³

et al. 2016

Asian Journal of Control

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This paper deals with actuator fault diagnosis of neutral delayed systems with multiple time delays using an unknown input observer. The main purpose is to design an observer that guarantees the asymptotic stability of the estimate error dynamics and the actuator fault detection. The existence conditions for such an observer are established. The main problem studied in this paper aims at designing observer-based fault detection and isolation. The designed observer enhances the robust diagnosis performance, including rapidity and accuracy, and generates residuals that enjoy perfect decoupling properties among faults. Based on Lyapunov stability theory, the design of the observer is formulated in terms of linear matrix inequalities, and the diagnosis scheme is based on a bank of unknown input observers for residual generation that guarantees fault detection and isolation in the presence of external disturbances. A numerical example is presented to illustrate the efficiency of the proposed approach.Key Words: Neutral system with multiple delays, unknown input observer, fault detection and isolation (FDI), linear matrix inequality (LMI).

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“…A geometric approach i s a pplied t o achieve a r obust f ault de tection a nd isolation in the research of Meskin and Khorasani [9]. In [10], an U IO w ith a new s tructure i s i nvestigated t o achieve f ault detection for a class of neutral time-delay systems.…”

Section: Introductionmentioning

confidence: 99%

“…This pa per deals with th e f ault e stimation for a cl ass o f neutral tim e-delay s ystems ba sed on a n UIO described by Elhsoumi in [10] and an algebraic method. The paper i s o rganized as f ollows.…”

Section: Introductionmentioning

confidence: 99%

UIO-based fault estimation for a class of neutral time-delay system

Elhsoumi

Ali

Harabi

et al. 2013

14th International Conference on Sciences and Techniques of Automatic Control &Amp; Computer Engineering - STA'2013

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In this paper, a method of fault estimation based on unknown input observer is presented for a class of neutral timedelay sy stem. First, a n unknown i nput o bserver i s d escribed to achieve f ault estimation for neutral t ime-delay s ystem w ith a constant de lay. An observability condition is generated to guarantee observer use. Then, the observer is used to generate an algebraic method of actuator fault estimation. Finally, simulation results are presented to prove theorical development.Index Terms-Neutral time-delay sy stems, unknown i nput observer, observabiliy, fault estimation.

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UIO-based fault detection and isolation for a class of neutral system

Cited by 9 publications

References 21 publications

State and fault estimation for nonlinear recurrent neural network systems: Experimental testing on a three‐tank system

State and fault estimation for nonlinear recurrent neural network systems: Experimental testing on a three‐tank system

Unknown Input Fault Detection and Isolation Observer Design for Neutral Systems

UIO-based fault estimation for a class of neutral time-delay system

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