Conditions with D-stability circle area in design of observer-based fault estimation

Krokavec, Dušan; Filasová, Anna; Liscinsky, Pavol

doi:10.12988/ams.2016.63112

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The impact of the linear matrix inequalities (LMIs) on observer design tasks has been well recognized to allow for fault detection, and has inspired numerous fault detection filter structures (Chiang et al, 2001;Baïkeche et al, 2006;Ferdowsi and Jagannathan, 2011;Sun and Yang, 2014). Tools for fault detection and residual filters in discrete-time systems have been scrutinized by Kim and Rew (2013), Gao (2015), Filasová et al (2016) or Krokavec and Filasová (2019a). Modern trends in this field with relation to fault tolerant control (FTC) systems are discussed by Borutzky (2021), Ding (2021) and Hamdi et al (2021).…”

Section: Introductionmentioning

confidence: 99%

On some ways to implement state-multiplicative fault detection in discrete-time linear systems

Krokavec,

Filasová

2022

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New design conditions on the observer based residual filter design for the linear discrete-time linear systems with zoned system parameter faults are presented. With respect to time evolution of residual signals and with a guarantee of their robustness, the design task is stated in terms of linear matrix inequalities, while the recursive implementation of algorithms is motivated by the platform existence for real-time processing. A major objective is to analyze the configuration required and, in particular, a new characterization of the norm boundaries of the multiplicative zonal parametric faults to be projected onto the structure of the set of linear matrix inequalities.

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Section: Introductionmentioning

confidence: 99%

On some ways to implement state-multiplicative fault detection in discrete-time linear systems

Krokavec,

Filasová

2022

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“…To minimize the set of LMIs of the circle regional pole placement is used; a modified approach in LMI construction is proposed in Ref. [9].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Principles in Design of Adaptive Fault Observers

Krokavec¹,

Filasová²,

Liscinsky³

2017

Fault Diagnosis and Detection

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In this chapter, modified techniques for fault estimation in linear dynamic systems are proposed, which give the possibility to simultaneously estimate the system state as well as slowly varying faults. Using the continuous-time adaptive observer form, the considered faults are assumed to be additive, thereby the principles can be applied for a broader class of fault signals. Enhanced algorithms using H ∞ approach are provided to verify stability of the observers, giving algorithms with improved performance of fault estimation. Exploiting the procedure for transforming the model with additive faults into an extended form, the proposed technique allows to obtain fault estimates that can be used for fault compensation in the fault tolerant control scheme. Analyzing the ambit of performances given on the mixed H 2 /H ∞ design of the fault tolerant control, the joint design conditions are formulated as a minimization problem subject to convex constraints expressed by a system of linear matrix inequalities. Applied enhanced design conditions increase estimation rapidity also in noise environment and formulate a general framework for fault estimation using augmented or adaptive observer structures and active fault tolerant control in linear dynamic systems.

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Detection of State-Multiplicative Faults in Discrete-Time Linear Systems

Krokavec

Filasová

2020

Advances in Intelligent Systems and Computing

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Conditions with D-stability circle area in design of observer-based fault estimation

Cited by 4 publications

References 6 publications

On some ways to implement state-multiplicative fault detection in discrete-time linear systems

On some ways to implement state-multiplicative fault detection in discrete-time linear systems

Enhanced Principles in Design of Adaptive Fault Observers

Detection of State-Multiplicative Faults in Discrete-Time Linear Systems

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