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2003•Kongzhi yu jueceRequires access

Direct blind identification for control system

Liu Wen

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Abstract

A direct blind identification method for transfer function model in time domain is presented. By sampling the output signal in a multirate, a SISO system is transformed into a SIMO system which has common poles. The parameter estimate of the original SISO model is obtained by first estimating the numerator of the new SIMO model transfer function and then the common denominator. The method can be used to identify a transfer function model of nonminimum phase system.

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What this paper is about

A direct blind identification method for transfer function model in time domain is presented. By sampling the output signal in a multirate, a SISO system is transformed into a SIMO system which has common poles. The parameter estimate of the original SISO model is obtained by first estimating the numerator of the new SIMO model transfer function and then the common denominator. The method can be used to identify a transfer function model of nonminimum phase system.

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Available abstract

A direct blind identification method for transfer function model in time domain is presented. By sampling the output signal in a multirate, a SISO system is transformed into a SIMO system which has common poles. The parameter estimate of the original SISO model is obtained by first estimating the numerator of the new SIMO model transfer function and then the common denominator. The method can be used to identify a transfer function model of nonminimum phase system.

Key concepts: Transfer function, Control theory (sociology), System identification, Minimum phase, Identification (biology), Function (biology), Closed-loop pole, Mathematics

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