Using interval observers to diagnose defects in non-stationary systems

The problem of detecting and localizing defects in linear nonstationary dynamic systems in the presence of external disturbances and measurement noise is considered. To solve the problem, interval observers are used, built by converting the initial system to its reduced model, which is sensitive to defects and insensitive to disturbances. The special feature of the model is its nonlinear stationary dynamics, which, unlike known approaches, significantly simplifies the procedure for solving the problem.

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