On the Use of Regularization in System Identification

  title={On the Use of Regularization in System Identification},
  author={T. McKelveyDepartment},
  • T. McKelveyDepartment
  • Published 1992
Regularization is a standard statistical technique to deal with ill-conditioned parameter estimation problems. We discuss in this contribution what possibilities and advantages regularization ooers in system identiication. In the rst place regularization reduces the variance error of a model, but at the same time it introduces a bias. The familiar trade-oo between bias and variance error for the choice of model order/structure can therefore be discussed in terms of the regularization parameter… CONTINUE READING


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