Fault detection and identification for uncertain linear time-delay systems

Jiang, Canghua; Zhou, Donghua

doi:10.1016/j.compchemeng.2005.08.012

Cited by 55 publications

(33 citation statements)

References 17 publications

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“…With a structure restriction on the fault distribution, Jiang et al (2002) developed an adaptive observer for fault identification of both linear systems with multiple state time delays and a class of nonlinear systems. Jiang and Zhou (2005) proposed a new adaptive observer for robust fault detection and identification of uncertain linear time-invariant systems with multiple constant time-delays in both states and outputs. Chen and Saif (2006) investigated an iterative learning observer based on adaptive unknown input estimation with considering both the disturbances and possible faults as unknown inputs.…”

Section: Deterministic Packet Lossesmentioning

confidence: 99%

Fault Diagnosis of Networked Control Systems

Aubrun¹,

Sauter²,

Yamé³

2008

International Journal of Applied Mathematics and Computer Science

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Networked Control Systems (NCSs) deal with feedback control systems with loops closed via data communication networks. Control over a network has many advantages compared with traditionally controlled systems, such as a lower implementation cost, reduced wiring, simpler installation and maintenance and higher reliability. Nevertheless, the networkinduced delay, packet dropout, asynchronous behavior and other specificities of networks will degrade the performance of closed-loop systems. In this context, it is necessary to develop a new theory for systems that operate in a distributed and asynchronous environment. Research on Fault Detection and Isolation (FDI) for NCSs has received increasing attention in recent years. This paper reviews the state of the art in this topic.

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Section: Deterministic Packet Lossesmentioning

confidence: 99%

Fault Diagnosis of Networked Control Systems

Aubrun¹,

Sauter²,

Yamé³

2008

International Journal of Applied Mathematics and Computer Science

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“…In the past decade, great attention has been devoted to the design of model-based fault detection systems and their robustness [1,2]. With the rapid development of robust control theory and H ∞ optimization control techniques, more and more methods have been presented to solve the robust FDI problem.…”

Section: Introductionmentioning

confidence: 99%

Computation of a Reference Model for Robust Fault Detection and Isolation Residual Generation

Mazars

Jaimoukha

2008

Journal of Control Science and Engineering

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This paper considers matrix inequality procedures to address the robust fault detection and isolation (FDI) problem for linear time-invariant systems subject to disturbances, faults, and polytopic or norm-bounded uncertainties. We propose a design procedure for an FDI filter that aims to minimize a weighted combination of the sensitivity of the residual signal to disturbances and modeling errors, and the deviation of the faults to residual dynamics from a fault to residual reference model, using the H ∞ -norm as a measure. A key step in our procedure is the design of an optimal fault reference model. We show that the optimal design requires the solution of a quadratic matrix inequality (QMI) optimization problem. Since the solution of the optimal problem is intractable, we propose a linearization technique to derive a numerically tractable suboptimal design procedure that requires the solution of a linear matrix inequality (LMI) optimization. A jet engine example is employed to demonstrate the effectiveness of the proposed approach.

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“…The existence of such time-delays renders the control design problem much more difficult [12]. Increasing attention has recently been devoted to stability control and fault diagnosis of linear/nonlinear time-delayed systems, see, for example, [4][5][6][11][12][13][14][15][16]. In [14], an observer-based fuzzy control scheme with adaptation to the time-delay was proposed.…”

Section: Introductionmentioning

confidence: 99%

“…In [14], an observer-based fuzzy control scheme with adaptation to the time-delay was proposed. In [15], fault detection and identification for uncertain linear timedelay systems were investigated. In [16], by using ∞ control theory, a robust fault detection scheme was proposed for a class of discrete time-delay systems with parameter uncertainty.…”

Section: Introductionmentioning

confidence: 99%

Robust Fault Detection and Estimation in Nonlinear Systems with Unknown Constant Time‐Delays

Yan

Shen

2017

Mathematical Problems in Engineering

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This paper studies the problem of fault detection and estimation in nonlinear time-delayed systems with unknown inputs, where the time-delays are supposed to be constant but unknown. A new fault detection filter, which can estimate online the time-delays, is first introduced. Then, a reference residual model is proposed to formulate the robust fault detection filter design problem as an ∞ model-matching problem. Furthermore, by a novel robust adaptive fault estimation algorithm, the classical assumption that the time derivative of the output error should be known is removed. In addition, applying a robust ∞ optimization control technique, sufficient conditions for the existence of the fault detection filter (FDF) are derived in terms of linear matrix inequality (LMI). Finally, simulation results are presented to illustrate the effectiveness of the proposed algorithm.

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Fault detection and identification for uncertain linear time-delay systems

Cited by 55 publications

References 17 publications

Fault Diagnosis of Networked Control Systems

Fault Diagnosis of Networked Control Systems

Computation of a Reference Model for Robust Fault Detection and Isolation Residual Generation

Robust Fault Detection and Estimation in Nonlinear Systems with Unknown Constant Time‐Delays

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