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Fast tracking conjugate gradient algorithm

Kim, D.I., De Wilde, P. (2002) Fast tracking conjugate gradient algorithm. In: 2000 IEEE International Symposium on Circuits and Systems (ISCAS). 4. pp. 509-512. IEEE ISBN 0-7803-5482-6. (doi:10.1109/ISCAS.2000.858800) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:58057)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1109/ISCAS.2000.858800

Abstract

This paper describes a novel Conjugate Gradient (CG) algorithm utilizing a noise-immunized forgetting factor in order to boost the tracking capability for time-varying parameters. The new algorithm is based on re-initializing the forgetting factor when it encounters an unexpected parameter change and has a noise-immunity property due to the counter logic function. Fast tracking and low parametric error variance properties are verified through computer simulation in a system identification problem. In addition, the convergence property is analyzed by a Chebyshev polynomial approximation. It is shown that the convergence of the CG algorithm is speeded up by an acceleration term when compared to the Steepest Descent (SD) algorithm.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/ISCAS.2000.858800
Uncontrolled keywords: Algorithms; Chebyshev approximation; Convergence of numerical methods; Identification (control systems); Polynomials, Conjugate gradient algorithms, Integrated circuit layout
Subjects: Q Science > QA Mathematics (inc Computing science)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Philippe De Wilde
Date Deposited: 05 Jan 2023 11:37 UTC
Last Modified: 06 Jan 2023 11:39 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/58057 (The current URI for this page, for reference purposes)
De Wilde, P.: https://orcid.org/0000-0002-4332-1715
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