Finite-time fault detection filter design for complex systems with multiple stochastic communication and distributed delays

Sakthivel, R.; Suveetha, V. T.; Nithya, V.; Sakthivel, R.

doi:10.1016/j.chaos.2020.109778

Cited by 12 publications

(8 citation statements)

References 37 publications

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“…Therefore, the finite-time stability of dynamic systems has attracted more and more attention. 37,38 At present, some results have been obtained for finite-time stability studies in FD problems. To be specific, the finite-time FD problem for switched uncertain delayed system has been studied in the work of Shokouhi-Nejad et al, 37 where sufficient criteria have been found to ensure that the residual system is finite-time stable via the delay-dependent method.…”

Section: Introductionmentioning

confidence: 99%

Finite‐time fault detection for nonlinear delayed system with dynamic quantization and multiple packet dropouts

Zhao

2023

Optim Control Appl Methods

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The attention of this article is mainly paid to the finite‐time fault detection (FD) problem for nonlinear delayed system with dynamic quantization and multiple packet dropouts. The probabilistic interval time‐varying delay is addressed, which might fall into two intervals with known probability. The measurement signals are quantized by a dynamic quantizer and then transmitted over communication network, where the multiple packet dropouts might occur. The main objective of the considered problem is to design a finite‐time FD filter such that the FD system is stochastically finite‐time stable (SFTS) with guaranteed performance in the presence of probabilistic interval time‐varying delay, dynamic quantization and multiple packet dropouts. Based on Lyapunov stability theory, sufficient criteria for the presence of the desired finite‐time FD filter are presented. Afterwards, the desired filter gain matrices are given via solving certain linear matrix inequalities (LMIs). Finally, a simulation example is used to show the applicability of the obtained finite‐time FD algorithm.

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Section: Introductionmentioning

confidence: 99%

Finite‐time fault detection for nonlinear delayed system with dynamic quantization and multiple packet dropouts

Zhao

2023

Optim Control Appl Methods

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“…In [23], the authors present an FDF design under a discrete-time Takagi-Sugeno Fuzzy Markovian jumping system (MJS) framework with the presence of time-varying delay, missing measurement, and partly unknown transition probability. The authors in [24] study the dissipative-based finite-time FDF for a discrete-time complex system in the presence of random delays and channel fading. In [25], the authors propose an event-triggered observer-based FDF design using switched non-linear network control systems.…”

Section: Introductionmentioning

confidence: 99%

Gain-Scheduled Fault Detection Filter for Discrete-Time LPV Systems

Carvalho¹,

Palma

Rosa

et al. 2021

IEEE Access

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The present work investigates a fault detection problem using a gain-scheduled filter for discrete-time Linear Parameter Varying systems. We assume that the scheduling parameter cannot be directly measured but, instead, it is estimated. On the one hand, this assumption imposes the challenge that the fault detection filter should perform properly even when using an inexact parameter but, on the other, it avoids the burden associated with the design of a complex estimation process for this parameter. Three design approaches are proposed, namely, the H 2 , H ∞ , and mixed H 2 / H ∞ gain-scheduled Fault Detection Filters which are designed via Linear Matrix Inequalities. We also provide numerical simulations to illustrate the applicability and performance of the proposed novel methods.INDEX TERMS Fault Detection and Isolation, LPV systems, H 2 gain-scheduled filter, H ∞ gain-scheduled filter

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“…[ 16,17 ] Several results have been reported on model‐based fault detection for chemical engineering systems. Based on the linear functional observer method, fault detection for the time‐delay chemical system with an unknown input was considered in Feng et al [ 18 ] Based on the finite‐time fault detection filter method, fault detection for complex systems with multiple stochastic communication and distributed delays was considered in Sakthivel et al [ 19 ] In Yan et al, [ 20 ] fault detection for nonlinear systems based on the hierarchy cubature Kalman filter was proposed. The

H_{2} / H_{\infty}

fault detection observer design for linear time‐delay systems and discrete‐time uncertain systems were studied in Shen et al [ 21 ] and Huang et al, [ 22 ] respectively.…”

Section: Introductionmentioning

confidence: 99%

Actuator fault detection for a two‐stage chemical reactor based on the functional observer approach

Mao

2021

Can J Chem Eng

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This paper presents a new method of actuator fault detection based on the functional observer approach for a two‐stage chemical reactor with disturbance, parameter uncertainty, and time‐delay. The mechanism analysis method is used to model the system and the observer is designed. The exogenous disturbance can be decoupled completely from the error dynamic systems by letting some relevant constraints ensure the robustness of the residual generator. Stability conditions are obtained by using the Lyapunov–Krasovskii functional approach in the form of linear matrix inequalities (LMIs). Finally, simulation results are given to illustrate the effectiveness of the proposed method.

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Finite-time fault detection filter design for complex systems with multiple stochastic communication and distributed delays

Cited by 12 publications

References 37 publications

Finite‐time fault detection for nonlinear delayed system with dynamic quantization and multiple packet dropouts

Finite‐time fault detection for nonlinear delayed system with dynamic quantization and multiple packet dropouts

Gain-Scheduled Fault Detection Filter for Discrete-Time LPV Systems

Actuator fault detection for a two‐stage chemical reactor based on the functional observer approach

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