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IIR model identification using batch-recursive adaptive simulated annealing algorithm

IIR model identification using batch-recursive adaptive simulated annealing algorithm
IIR model identification using batch-recursive adaptive simulated annealing algorithm
System identification using infinite-impulse-response (IIR) model is considered. Because the error surface of IIR filters is generally multi-modal, global optimisation techniques are preferred in order to avoid local minima. An efficient global optimisation method, called the adaptive simulated annealing (ASA), is adopted, and a new batch-recursive ASA algorithm is developed for on-line identification. Simulation study shows that the proposed approach is accurate and has a fast convergence rate, and the results obtained demonstrate that the ASA offers a viable tool to IIR model identification.
0 9533890 3 0
151-155
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53
Chen, S.
ac405529-3375-471a-8257-bda5c0d10e53

Chen, S. (2000) IIR model identification using batch-recursive adaptive simulated annealing algorithm. Proceedings of 6th Annual Chinese Automation and Computer Science Conference in UK. pp. 151-155 .

Record type: Conference or Workshop Item (Other)

Abstract

System identification using infinite-impulse-response (IIR) model is considered. Because the error surface of IIR filters is generally multi-modal, global optimisation techniques are preferred in order to avoid local minima. An efficient global optimisation method, called the adaptive simulated annealing (ASA), is adopted, and a new batch-recursive ASA algorithm is developed for on-line identification. Simulation study shows that the proposed approach is accurate and has a fast convergence rate, and the results obtained demonstrate that the ASA offers a viable tool to IIR model identification.

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More information

Published date: September 2000
Additional Information: Presented at 6th Annual Chinese Automation and Computer Science Conference in UK (Loughborough) , 23 September, 2000. Organisation: Chinese Automation and Computer Society in UK
Venue - Dates: Proceedings of 6th Annual Chinese Automation and Computer Science Conference in UK, 2000-09-01
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 253952
URI: http://eprints.soton.ac.uk/id/eprint/253952
ISBN: 0 9533890 3 0
PURE UUID: e90707f8-f661-49ad-84c7-d9d8dce15438

Catalogue record

Date deposited: 10 Apr 2001
Last modified: 18 Jul 2017 09:55

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