Abstract
In this paper, design methods are presented, where information related criteria for optimality of the precision of the resulting parameter estimates are extended with prior information, corresponding to the available physical knowledge about the system, and with cost related loss function elements, reflecting the importance of the obtained parameter estimates. Bayesian as well as non-Bayesian techniques are discussed. An example is given on the grey-box approach for optimal design of a power constrained input sequence.
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