Non-fragile H∞ Fault Detection for Nonlinear Systems with Stochastic Communication Protocol and Channel Fadings

Ren, Weijian; Gao, Mengyu; Kang, Chaohai

doi:10.1007/s12555-020-0137-y

Cited by 11 publications

(3 citation statements)

References 23 publications

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“…33 Recently, the FD problems based on SCP have attracted great attention. [34][35][36] In Reference 35, the non-fragile H ∞ FD filter has been established for fuzzy networked control systems under SCP, in which the protocol scheduling model has been constructed via a Markov chain. Moreover, the asynchronous FD problem has been studied for memristive neural networks with denial-of-service attacks in Reference 36, where a dwell-time-based SCP has been scheduled to coordinate the data transmission between sensors and filter.…”

Section: Introductionmentioning

confidence: 99%

“…As a kind of widely applied mechanism, the SCP, which is executed subject to the tenet of “sense before transmitting” or “listen before talking,” is often employed to describe a certain class of carrier‐sense multiple access with collision avoidance protocols 33 . Recently, the FD problems based on SCP have attracted great attention 34‐36 . In Reference 35, the non‐fragile

{H}_{\infty }

FD filter has been established for fuzzy networked control systems under SCP, in which the protocol scheduling model has been constructed via a Markov chain.…”

Section: Introductionmentioning

confidence: 99%

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Dissipative fault detection for time‐delay nonlinear Markov jump systems with measurement outliers under stochastic communication protocol

Wu,

Ma,

Feng

et al. 2023

Adaptive Control & Signal

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SummaryThis article investigates the dissipative fault detection (FD) problem for time‐delay nonlinear Markov jump systems with measurement outliers in the case of partially unknown transition probabilities. The stochastic communication protocol is utilized to save network bandwidth, where the scheduling model is described via a Markov chain. An outlier‐resistant FD filter is constructed with the help of adaptive saturation function technology. The sufficient conditions are derived to ensure that the FD system satisfies the stochastic stability and stochastic strict dissipativity. In addition, an FD filter without saturation constraint is also designed to compare with the outlier‐resistant FD filter, which verifies that the outlier‐resistant FD filter weakens the influence of measurement outliers effectively. Finally, two examples are provided to demonstrate the feasibility and effectiveness of the designed FD scheme.

show abstract

Section: Introductionmentioning

confidence: 99%

{H}_{\infty }

FD filter has been established for fuzzy networked control systems under SCP, in which the protocol scheduling model has been constructed via a Markov chain.…”

Section: Introductionmentioning

confidence: 99%

Dissipative fault detection for time‐delay nonlinear Markov jump systems with measurement outliers under stochastic communication protocol

Wu,

Ma,

Feng

et al. 2023

Adaptive Control & Signal

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show abstract

“…Note that these problems can no longer be solved by using the former FD approaches for linear systems. So far, the problem of FD for nonlinear systems has not been discussed enough [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

T-S Fuzzy Model-Based Fault Detection for Continuous Stirring Tank Reactor

et al. 2021

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Continuous stirring tank reactors are widely used in the chemical production process, which is always accompanied by nonlinearity, time delay, and uncertainty. Considering the characteristic of the actual reaction of the continuous stirring tank reactors, the fault detection problem is studied in terms of the T-S fuzzy model. Through a fault detection filter performance analysis, the sufficient condition for the filtering error dynamics is obtained, which meets the exponential stability in the mean square sense and the given performance requirements. The design of the fault detection filter is transformed into one that settles the convex optimization issue of linear matrix inequality. Numerical analysis shows the effectiveness of this scheme.

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Non-Fragile Distributed Fault Detection for Nonlinear Delayed Markov Jump Systems Under Weighted Try-Once-Discard Protocol

Ma,

Wu,

Chen

et al. 2024

Circuits Syst Signal Process

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Non-fragile H∞ Fault Detection for Nonlinear Systems with Stochastic Communication Protocol and Channel Fadings

Cited by 11 publications

References 23 publications

Dissipative fault detection for time‐delay nonlinear Markov jump systems with measurement outliers under stochastic communication protocol

Dissipative fault detection for time‐delay nonlinear Markov jump systems with measurement outliers under stochastic communication protocol

T-S Fuzzy Model-Based Fault Detection for Continuous Stirring Tank Reactor

Non-Fragile Distributed Fault Detection for Nonlinear Delayed Markov Jump Systems Under Weighted Try-Once-Discard Protocol

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