On statistical sampling for system testing

In this note, the theory of locally asymptotically normal experiments is used to test hypotheses about the parameters of a controlled, linear stochastic system. The tests are formulated for both continuous and sampled observations of the input and the output. For the sampled observations, a constant bias property for a quadratic variation estimate of the local variance parameters of the noise is verified. A numerical example is given using the methods.<
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