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- W4280494677 abstract "In this article, the problem of fault estimation is addressed for the class of discrete-time linear systems subject to mixed uncertainties (norm bounded and stochastic uncertainty) and unknown input disturbances. A robust proportional integral (PI) observer is proposed based on H∞ norm minimization for dealing with uncertainties and disturbances. An augmented observer is constructed first where the sensor fault is treated as a state variable and then, H∞ norm is minimized in the linear matrix inequalities (LMI) framework with the application of the Lyapunov function and Young inequalities. The application of the DC motor system and well-known three tank system is given to demonstrate the performance of the proposed observer. Through simulation results, a proposed PI observer has shown the precise estimation of a sensor fault." @default.
- W4280494677 created "2022-05-22" @default.
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- W4280494677 date "2022-12-01" @default.
- W4280494677 modified "2023-10-01" @default.
- W4280494677 title "Fault estimation in discrete-time linear systems with mixed uncertainties using proportional integral observer" @default.
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- W4280494677 doi "https://doi.org/10.1016/j.aej.2022.05.016" @default.
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