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On sampled data approach to parameter identification of continuous linear systems

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1 Author(s)
Hsia, T.C. ; University of California, Davis, CA, USA

It is generally preferable to estimate unknown parameters in analog transfer functions by sampled data techniques. This approach calls for the derivation of an appropriate discrete modelD(z)for a given analog systemH(s)with undetermined parameters, and then the fitting of the sampled input-output data byD(z)to estimate these parameters. This correspondence presents a method for obtaining such discrete models. It also provides a more effective procedure for calculating the parameter estimates from the identified discrete transfer functionhat{D}(z).

Published in:

Automatic Control, IEEE Transactions on  (Volume:17 ,  Issue: 2 )

Date of Publication:

Apr 1972

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