Marcin Pazera

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The paper is devoted to the problem of the robust actuator fault diagnosis of the dynamic non-linear systems. In the proposed method, it is assumed that the diagnosed system can be modelled by the recurrent neural network, which can be transformed into the linear parameter varying form. Such a system description allows developing the designing scheme of the(More)
Robust unknown input observer for state and fault estimation in discrete-time Takagi–Sugeno systems Damiano Rotondo, Marcin Witczak, Vicenç Puig, Fatiha Nejjari & Marcin Pazera To cite this article: Damiano Rotondo, Marcin Witczak, Vicenç Puig, Fatiha Nejjari & Marcin Pazera (2016): Robust unknown input observer for state and fault estimation in(More)
Wall cavity ventilation has been studied and investigated by numerous researchers both numerically using computer tools and experimentally using laboratory and field investigations. Results have not always been conclusive and recommendations in which cladding types, and under what climatic conditions the air cavity provides benefits, are not well(More)
The paper deals with the problem of simultaneous state and process fault estimation for uncertain dynamic systems. Contrarily to the approaches presented in the literature, the nonlinear estimation problem is reduced to the linear one by introducing a suitable system reparameterization and new estimator structure. Instead of estimating the fault directly,(More)
The paper is devoted to the problem of a Takagi-Sugeno(TS)-based robust simultaneous actuator and sensor faults estimator design for the purpose of the Fault Diagnosis (FD) of non-linear systems. The proposed methodology of designing a TS-based H<inf>&#x221E;</inf> fault estimator is developed in this paper. The main novelty of the approach is associated(More)
The paper deals with the problem of simultaneous estimation of the state as well as actuator and sensor faults for non-linear dynamic systems. The actuator and sensor faults can appear simultaneously, at the same time. The proposed strategy is based on quadratic boundedness approach allowing the convergence analysis of the proposed estimator. The final part(More)
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