International audienceThis 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

International audienceIn this paper, the problems of state and fault estimation are addressed for a class of switched descriptor systems subject to Lipschitz nonlinearities and unknown inputs (UI). The UI appear both on the dynamic and on the measurement equations. Two problems are addressed by L2-gain minimization with the use of switched Lyapunov functions and formulated by LMI. First, a functional observer for switched Lipschitz nonlinear descriptor system is proposed for robust state estimation. Second, fault estimation is performed by filtering the output estimation error, as usually done in the residual generation framework. Moreover, frequency weighting functions can be used to shape the response to the fault and thus improve the estimation

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This paper investigates the problem of fault detection and isolation (FDI) for vehicle lateral dynamics. The system under consideration is a Linear Parameter Varying (LPV) model, where the scheduling parameter is related to the vehicle speed. The heart of the proposed approach relies in synthesizing robust residuals for some specified working speed. The robustness guaranties the validity between each working points. Synthesis of robust residuals is inspired from the wellknown parity-space method but extended for uncertain systems. The final fault detector is reconstructed by switching from the different residuals according to the speed. An applicative illustration is presented to detect a sensor fault on a vehicle lateral dynamic system. The measurements have been provided by the MIPS laboratory in collaboration within the French INOVE project.