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- W2047014904 abstract "This paper focuses on robust fault residual generation for Uncertain Unknown Inputs Linear Parameter Varying (U-LPV) systems. Firstly, the problem is addressed in standard LPV systems based on the adaptation of the parity-space approach. The main objective of this approach is to design a scheduled parity matrix according to the scheduling parameters. It results a perfectly decoupled parity matrix face to the system states. Then, the major contribution of this paper relies on the extension to U-LPV systems. Since most of models which represent practical/real systems are subject to parameters variation, unmodeled dynamics and unknown inputs, the approach is clearly justified. The residual synthesis is rewritten in terms of a new optimization problem and solved using Linear Matrix Inequalities (LMIs) techniques. An applicative illustration is proposed and rests on a vehicle lateral dynamic system." @default.
- W2047014904 created "2016-06-24" @default.
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- W2047014904 date "2014-01-01" @default.
- W2047014904 modified "2023-09-25" @default.
- W2047014904 title "Robust fault detection for Uncertain Unknown Inputs LPV system" @default.
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- W2047014904 doi "https://doi.org/10.1016/j.conengprac.2013.10.002" @default.
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