Object

Title: Adaptive discrete-time identification of continuous-time systems using adjusted integration

Creator:

Kowalczuk, Zdzisław

Date:

1997

Resource Type:

artykuł

Group publication title:

AMCS, volume 7 (1997)

Abstract:

A new approach to the design of on-line discrete-time systems of identification of continuous-time systems is presented. The problem concerns digital signal processing suitable for generation of the regression vector in discrete-time recursive estimation of continuous-time process parameters based on a mixed, discrete-continuous regression model. ; The approach is related to discrete approximation of continuous-time systems, where a kind of matching to the input and output signals is taken into account. In particular, the normal integrating operator technique is utilised. Two methods of "tempering" the characteristics of discrete-time integrators are proposed. One method consists in the transformation of an original system of matched IIR filters into an equivalent system of FIR filters. ; The purpose of the other method is simplification of calculations by applying stabilised closed IIR forms of the integrating operators. Such matched-and-tempered normal integrating operators are referred to as the adjusted integrators. Experimental results, obtained in an analogue and digital simulation environment, of the application of the two methods to discrete-time parameter estimation of nonstationary continuous-time systems corrupted by different noise processes illustrate the usefulness of the approach.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Contributor:

Korbicz, Józef - red. ; Uciński, Dariusz - red.

Pages:

41-75

Source:

AMCS, volume 7, number 1 (1997)

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

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