Identification of Probabilistic System Uncertainty Regions by Explicit Evaluation of Bias and Variance Errors

A procedure is developed for identification of probabilistic system uncertainty regions for a linear time-invariant system with unknown dynamics, on the basis of time sequences of input and output data. The classical framework is handled in which the system output is contaminated by a realization of a stationary stochastic process. Given minor and… CONTINUE READING

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