Abstract
In this paper we propose an approach to the robust fault detection problem for uncertain linear stochastic systems with time-varying parameters. For, we use a gain scheduled robust H∞ polynomial estimator, in order to generate a residual which take into account both uncertainty and unstationnarity. The estimator is described in an innovation form. To illustrate the efficiency of the method, the algorithm is applied to a mecatronic laboratory process.
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