Interval Observers for Fault Detection and Estimation

Speaker:
Thomas Chevet (DTIS, ONERA, Université Paris-Saclay, Palaiseau, France)
Abstract:
This talk deals with the use of new interval observers for fault detection and joint estimation of state and unknown inputs for linear systems subject to bounded perturbations and measurement noise. First, we present a robust interval observer for a continuous-time linear parameter-varying (LPV) system with unknown and unmeasurable parameter. This observer is used for sensor fault detection. Then, we will study joint estimation of both the state and unknown inputs of discrete-time linear time-invariant (LTI)/LPV systems. To do so, we design a zonotopic observer for a discrete-time LTI system and an interval observer for a discrete-time LPV system, both with unknown and unmeasurable parameter vector. These estimation methods are based on the introduction of additional weighting matrices to help attenuate the effect of the system's uncertainties and ensure the stability and cooperativity of the interval observers. The algorithms are tested on simulation examples to show their efficiency.
References:
dx.doi.org/10.1109/LCSYS.2021...
dx.doi.org/10.3850/978-981-18...

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Intéressant. Merci pour cette présentation