Fault Detection Filter Design Research Articles

Improved asynchronous fault detection filter design for singular fuzzy Markovian jump systems against multi-cyber-attacks

This paper delves into the design of an asynchronous Fault Detection Filter (FDF) for Singular Fuzzy Markovian Jump Systems (SFMJSs), particularly under the influence of multi-cyber-attacks, leveraging an enhanced adaptive event-triggered mechanism (AETM). Initially, a Hidden Markovian Model (HMM) is employed to characterize the asynchronous interactions between SFMJSs and FDF. Subsequently, a mode-dependent AETM alongside a dynamic quantization protocol is synergistically utilized to optimize communication bandwidth and augment data transmission efficiency. Additionally, the study introduces an expansive range of multi-cyber-attacks, encompassing deception, replay, and Denial-of-Service (DoS) attacks, to mirror inherent vulnerabilities in wireless signal transmission. Furthermore, the H∞ performance of the FDF error system is assessed within a comprehensive framework using Linear Matrix Inequalities (LMIs), guided by a generalized performance index. This research establishes innovative admissibility criteria and filter conditions, aimed at guaranteeing the feasibility of desired FDF gains and ensuring the exponential admissibility of the FDF error system, underpinned by a generalized performance index. This manuscript concludes with two illustrative examples to demonstrate the efficacy of the proposed methodologies.

Finite-Frequency Fault Detection Filter Design for Networked Nonlinear Systems With Medium Access Constraints

Finite-Frequency Fault Detection Filter Design for Networked Nonlinear Systems With Medium Access Constraints

A bumpless transfer piecewise filtering approach for fault detection of switched linear systems

AbstractThis study focuses on bumpless transfer (BT) fault detection in switched linear systems operating under mode‐dependent average dwell time (MDADT) switching. We propose a piecewise fault detection filter (FDF) inspired by the segmentation concept inherent in the multiple discontinuous Lyapunov function (MDLF) approach. This filter generates a residual signal that effectively minimizes the amplitude of residual bumps, surpassing the performance of traditional non‐piecewise FDFs. We introduce a new definition of residual BT performance, aimed at reducing residual bump amplitude during filter transitions. The goal is to design the piecewise FDF such that the augmented system maintains asymptotic stability with weighted performance, while also meeting the residual BT performance criteria. The feasibility of achieving BT fault detection filtering is established through linear matrix inequalities (LMIs), leveraging the MDLF and MDADT strategies. The efficacy and benefits of the proposed BT piecewise FDF design are demonstrated through simulations on a boost converter.

Event-Driven Reduced-Order Fault Detection Filter Design for Nonlinear Systems With Complex Communication Channel

Event-Driven Reduced-Order Fault Detection Filter Design for Nonlinear Systems With Complex Communication Channel

Event‐triggered fault detection filter design for networked switched systems with all subsystems unstable and cyber attacks

SummaryThis article focuses on the issue of event‐triggered fault detection filters (FDF) design for networked switched systems. Compared with the existing fault detection literature, this article investigates the situation that all subsystems are unstable, and considers that stochastic cyber attacks will disrupt fault detection. An event‐triggered mechanism (ETM) that excludes Zeno behavior naturally is designed to economize limited network resources. Then considering the ETM‐induced delay term, the dynamics of the initial system combined with the ETM, fault detection filters, and the effects of cyber attacks are formulated as a new augment switched delayed residual model. Based on the constructed multiple piecewise discretized Lyapunov–Krasovskii function (MPDLKF) and the mode‐dependent dwell time (MDDT) method, sufficient conditions are obtained to guarantee globally mean‐square uniformly asymptotically stability of the new augment system. Moreover, a co‐design method of ETM matrices and FDF gains is proposed. Finally, simulation results are provided to verify the feasibility and effectiveness of the proposed method.

Asynchronously switched fault detection filter design for full-envelope flight vehicle

The fault detection problem of a class of full-envelope flight vehicles with time delays and packet losses is investigated. Their model is established as locally overlapped switched systems to reduce conservatism. The delays and the packet losses are transformed into the parameters of polytopic systems. The switched parameter-dependent fault detection filter (FDF) is then designed. The fault detection system stability and its [Formula: see text] performance under asynchronous switching with average dwell time are analyzed. Moreover, a parity-space–based optimization approach is presented to guarantee that the modified residual signal is sensitive to fault but robust to disturbance. An example of applying this method to the highly maneuverable technology vehicle is given to verify the method’s effectiveness.

Partially known transition rates-based resilient [formula omitted] impulsive filtering for implicit hybrid systems subject to multidimensional impulsive operator

This work focuses on partially known transition rates-based resilient H∞ impulsive filtering for implicit hybrid systems subject to multidimensional impulsive operator. A novel timer-dependent Lyapunov–Krasovskii (L–K) functional is constructed, which can holistically capture the hybrid features with impulse instant, time delay and Markov jump modes information of implicit impulsive hybrid systems. The stochastic admissibility and H∞ performance criteria of residual systems are achieved by developing the underlying novel L–K functional. The robust fault detection issue is transformed into an H∞ filtering problem under two cases of fully- and partially-known transition rates, sufficient conditions for resilient H∞ impulsive fault detection filter are presented via linear matrix inequalities. The feasibility of the proposed resilient H∞ impulsive fault detection filter design method is proven by the simulation of DC motor device.

Memory fault detection filter design for uncertain discrete-time systems with missing measurements

Memory fault detection filter design for uncertain discrete-time systems with missing measurements

Fault Detection Filter Design for Networked Systems with Deception Attacks and Communication Delays

Fault Detection Filter Design for Networked Systems with Deception Attacks and Communication Delays

Stability analysis and fault detection filter design for discrete‐time switched systems with all modes unstable

AbstractIn this article, we investigate the stabilization and fault detection problem for discrete‐time switched systems with all modes unstable. A set of mode‐dependent fault detection filters are designed with respect to each subsystem and combined with the switched system into an augmented switched system. Sufficient conditions for both guaranteeing globally uniformly asymptotically stable (GUAS) and performance of the augmented switched system are derived by utilizing the discretized Lyapunov function technique and dwell time (DT) switching strategy. A novel pair of the residual evaluation function and threshold function are also provided for improving the sensitivity and practicability of fault detection logic. Numerical experiments demonstrate the effectiveness of the proposed method.

Fault Detection for Unmanned Marine Vehicles Under Replay Attack

This paper investigates the fault detection problem of unmanned marine vehicles (UMV) under the influence caused by replay attacks. Firstly, the dynamics of UMV are modeled by a T-S fuzzy system with an unknown membership function, which includes the nonlinear coupling of the internal state of the system, the environmental multi-source disturbance as well as the potential thruster failure on UMV. Then, the possible replay attack from the sensor to the shore-based center is considered, and a switching-type attack tolerant fault detection filter is designed. Sufficient conditions are given to ensure that the filtering augmented system is stable and with stochastic finite frequency <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$H_{-}$</tex-math></inline-formula> performances, which reflect the robustness to the disturbance and sensitivity to the fault. On this basis, through a series of mathematical processing, the linear solvable conditions for the design of fault detection filters are obtained. Finally, the effectiveness of the proposed algorithm is verified by simulations.

Event-Driven-Based Fault Detection Filter Design via Membership Functions Iteration Strategy

Event-Driven-Based Fault Detection Filter Design via Membership Functions Iteration Strategy

Asynchronous fault detection filter of positive Markov jump systems by dynamic event-triggered mechanism

This paper explores the design of a positive l1-gain asynchronous non-fragile fault detection filter (FDF) for discrete-time positive Markov jump systems (PMJSs) based on the dynamic event-triggered method (DETM). Due to the effect of positivity on event-triggered mechanisms and non-triviality on stability of discrete-time PMJSs, a new more powerful and generic DETM that can avoid non-triviality is developed. The asynchronous situation between the non-fragile FDF modes and the system modes is effectively managed by employing a hidden Markov model. Then, the solvability criteria for issues of concern are presented by building the copositive Lyapunov function (CLF) with internal dynamic variables (IDV). An alternative sufficient condition is derived based on the obtained results. Subsequently, a co-design project of the expected dynamic event-triggered positive l1-gain asynchronous non-fragile fault detection filter (DETPGAN-FFDF) and the designed DETM is proposed in this paper. Finally, the effectiveness and superiority of the approach are verified by numerical arithmetic examples and practical applications based on pest management.

Asynchronous Fault Detection Filter Design for T–S Fuzzy Singular Systems via Dynamic Event-Triggered Scheme

This article considers the problem of asynchronous fault detection filter (FDF) design for Takagi–Sugeno (T–S) fuzzy singular systems via dynamic event-triggered scheme. A mode-dependent dynamic event-triggered scheme is adopted to alleviate the communication load. Besides, a hidden Markov model is introduced to describe the asynchronous phenomenon between the system and the FDF. First, some sufficient criteria are established to ensure that the residual system is stochastically admissible with a certain <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$H_\infty$</tex-math></inline-formula> performance. Second, solvability criteria are presented to codesign the desired FDF gains and the event-triggered matrices. Finally, the correctness of the proposed method is shown by two examples.

Event-triggered finite-time fault detection for delayed networked systems with conic-type nonlinearity and deception attacks

The paper is concerned with the finite-time fault detection (FTFD) problem for a class of delayed networked systems subject to conic-type nonlinearity and randomly occurring deception attacks (RODAs) via dynamic event-triggered mechanism (DETM). The nonlinear function with the conic-type constraint is limited to a known hypersphere with uncertain center. Moreover, a variable governed by Bernoulli distribution is introduced to characterize the RODAs phenomenon. In order to reduce unnecessary communication transmissions, a DETM is considered in the design of finite-time fault detection filter (FTFDF) for the addressed networked systems with time-delays. This paper focuses on the design of an FTFDF via the DETM to ensure the finite-time stochastic stability of error dynamics system with satisfactory the prescribed H∞ performance. Moreover, the desired FTFDF parameter matrices are obtained by solving linear matrix inequalities. In the end, a simulation example is employed to illustrate the validity of the proposed FTFD method.

Reduced-Order Fault Detection Filter Design for Fuzzy Semi-Markov Jump Systems With Partly Unknown Transition Rates

This article deals with the fault detection problem for a class of Takagi–Sugeno (T–S) fuzzy semi-Markov jump systems (FSMJSs) with partly unknown transition rates (PUTRs) subject to output quantization by designing a reduced-order filter. First, a more general PUTRs model is constructed to describe the situation that the information of some elements is completely unknown, where this model is affected simultaneously by PU information and time-varying parameter compared with the traditional PUTRs model. Second, we take full advantage of the reduced-order filter to address the fault detection problem for FSMJSs, in which the stochastic failure phenomenon is injected into the reduced-order filter. Besides, the logarithmic quantizer is employed to tackle the limited bandwidth problem in a communication channel. Consequently, the new sufficient conditions are developed based on the Lyapunov theory to obtain the desired reduced-order filter. Simulation results with respect to the tunnel diode circuit are provided to demonstrate the usefulness and availability of the established theoretical results.

Asynchronously finite‐time fault detection for switched systems with unstable modes and intermittent measurements

This study proposes a novel fault detection (FD) filter design approach for switched systems with unstable modes and intermittent measurement; the FD filter design approach considers asynchronous switching and ensures finite-time stability (FTS). First, a model of switched systems with undesirable communication and unstable modes is established. The FD filter is developed using the observer technique, and the conditions of FTS and H∞ performance for the above systems are proposed and verified. The multiple discontinuous Lyapunov function (MDLF) method and the mode-dependent average dwell time (DT) method are used to obtain the switching strategy, which includes fast and slow switching to address the stability of unstable and stable modes, respectively. Compared with conventional approaches, the proposed method can realize less conservative stability conditions and a more flexible design framework, providing an efficient approach for improving system performance. Finally, based on the determined FTS criteria and H∞ performance, the FD filter for switched systems is presented. Simulation results are provided to verify the effectiveness of the proposed method.

Protocol-based fault detection for discrete-time memristive neural networks with quantization effect

This paper is concerned with the event-triggered fault detection filter design problem for discrete-time memristive neural networks with measurement quantization. Aiming at saving communication bandwidth and improving communication efficiency, a new component-based adjusted dynamic event-triggered protocol is proposed. The transmission status of each measurement component can be determined based on the individual prescribed triggering condition. The quantizer with variable density is introduced to meet different performance requirements, in which the quantization densities vary among a finite set of modes. By constructing an augmented Lyapunov functional, an asynchronous filter is designed to achieve the desired performance while assuring the stochastic stability of the filtering error system. Finally, a simulation example is provided to verify the effectiveness of obtained theoretical results.

Retraction: State estimation of Takagi‐Sugeno fuzzy system in networked control system with stochastic time delays under unknown attacks

International Journal of Adaptive Control and Signal ProcessingVolume 36, Issue 8 p. 2150-2150 RETRACTION STATEMENTFree Access Retraction: State estimation of Takagi-Sugeno fuzzy system in networked control system with stochastic time delays under unknown attacks This article retracts the following: Retracted: State estimation of Takagi-Sugeno fuzzy system in networked control system with stochastic time delays under unknown attacks Muhammad Shamrooz Aslam, Volume 35Issue 7International Journal of Adaptive Control and Signal Processing pages: 1336-1353 First Published online: June 22, 2021 First published: 13 July 2022 https://doi.org/10.1002/acs.3469AboutSectionsPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat The above article from the International Journal of Adaptive Control and Signal Processing, published online on June 22, 2021 in Wiley Online Library (http://onlinelibrary.wiley.com/), has been retracted by agreement between the journal Editor in Chief, Professor Mike Grimble, and John Wiley and Sons Ltd. The retraction has been agreed due to unattributed overlap between this article and the following article submitted to IEEE Transactions on Fuzzy Systems: “Event-triggered fault detection filter design for networked switched T-S fuzzy systems with deception attacks and data disorders (TFS-2019-1136)”. Authors: Qi, Yiwen; Yuan, Shuo; Zhao, Xudong. Submitted Nov 2019. REFERENCE 1Aslam, MS. State estimation of Takagi-Sugeno fuzzy system in networked control system with stochastic time delays under unknown attacks. Int J Adapt Control Signal Process 2021; 35: 1336– 1353. https://doi.org/10.1002/acs.3241 Volume36, Issue8August 2022Pages 2150-2150 ReferencesRelatedInformation

Asynchronous Fault Detection for Interval Type-2 Fuzzy Nonhomogeneous Higher Level Markov Jump Systems With Uncertain Transition Probabilities

Based on the interval type-2 fuzzy (IT2F) approach, this article investigates the fault detection filter design problem for a class of nonhomogeneous higher level Markov jump systems with uncertain transition probabilities. Considering that the mode information of the system cannot be obtained synchronously by the filter, the hidden Markov model can be seen as a detector to handle this asynchronous problem, and the parameter uncertainty can be processed by the IT2F approach with the lower and upper membership functions. Then, the asynchronous IT2F filter is designed to deal with the fault detection problem. Furthermore, the Gaussian transition probability density function is introduced to describe the uncertainty transition probabilities of the system and the filter. Based on the Lyapunov theory, the existence of the designed asynchronous IT2F filter and the dissipativity of the filter error system can be well ensured. In this article, the simulation study on a quarter-car suspension system verifies that the designed asynchronous IT2F filter can detect faults without error alarms.