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- W4313490455 abstract "The faults can be classified into additive and multiplicative according to their effects on the outputs of the system and its dynamics. Although component faults and some actuator/sensor faults appear in multiplicative form that correspond to parameter changes in the system model or a loss of precision in the actuator/sensor, which can lead to additional complexity in observer design in the estimation framework, due to parameter changes within the process. In a nonlinear system, it is not easy to distinguish the factor of the real multiplicative fault from the mixed term. Most of the work in the literature on the estimation of faults has paid attention to those with additive effects that lead to changes only in the mean value of the system output signal. This motivated us to develop a proportional integral unknown input (PIUI) observer for uncertain systems with multiplicative sensor faults in the presence of measurement noise. Based on the TS structure and the properties of the diagonal matrix of the multiplicative faults, we transformed the multiplicative effect into an additive effect to facilitate the estimation. The application of the proposed strategy will be illustrated for a non-isothermal CSTR continuous stirred tank reactor." @default.
- W4313490455 created "2023-01-06" @default.
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- W4313490455 date "2022-11-23" @default.
- W4313490455 modified "2023-09-27" @default.
- W4313490455 title "State and multiplicative fault reconstruction for uncertain nonlinear system: Takagi-Sugeno approach" @default.
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- W4313490455 doi "https://doi.org/10.1109/icsc57768.2022.9993929" @default.
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