The asymptotic local approach to change detection and model validation

Authors:
  • ABA. Benveniste
    A. Benveniste
  • MBM. Basseville
    M. Basseville
  • GMG. Moustakides
    G. Moustakides

Abstract
We present a systematic approach for the design of change detection and model validation algorithms for dynamical systems. We show how to associate to any identification algorithm a change detection and a model validation procedure, which are optimal in some asymptotic sense. The foundations of our method go back to the asymptotic local approach in statistics, and our method generalizes this approach.

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