Two recursive least squares parameter estimation algorithms for multirate multiple‐input systems by using the auxiliary model

Two recursive least squares parameter estimation algorithms for multirate multiple‐input systems by using the auxiliary model

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Article ID: iaor20122015
Volume: 82
Issue: 5
Start Page Number: 777
End Page Number: 789
Publication Date: Jan 2012
Journal: Mathematics and Computers in Simulation
Authors: , , ,
Keywords: statistics: regression, simulation: applications
Abstract:

This paper considers identification problems of multirate multiple‐input output error systems, derives the input‐output representations by using the state space models of the multirate systems, and presents two auxiliary model based recursive least squares algorithms for the corresponding output error models with each subsystem having different or same denominator polynomials. The simulation results show the effectiveness of the proposed algorithms.

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