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A tunable radial basis function model for nonlinear system identification using particle swarm optimisation

A tunable radial basis function model for nonlinear system identification using particle swarm optimisation
A tunable radial basis function model for nonlinear system identification using particle swarm optimisation
6762-6767
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hong, Xia
e6551bb3-fbc0-4990-935e-43b706d8c679
Luk, Bing L.
7f992721-74f4-4a2d-b990-afcece627189
Harris, Chris J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hong, Xia
e6551bb3-fbc0-4990-935e-43b706d8c679
Luk, Bing L.
7f992721-74f4-4a2d-b990-afcece627189
Harris, Chris J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a

Chen, Sheng, Hong, Xia, Luk, Bing L. and Harris, Chris J. (2009) A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, , Shanghai, China. 16 - 18 Dec 2009. pp. 6762-6767 .

Record type: Conference or Workshop Item (Paper)
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More information

Published date: December 2009
Additional Information: Event Dates: December 16-18, 2009
Venue - Dates: Joint 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, , Shanghai, China, 2009-12-16 - 2009-12-18
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 268287
URI: http://eprints.soton.ac.uk/id/eprint/268287
PURE UUID: 598304e9-7d2a-446d-bcd7-a5c7a279b8a1

Catalogue record

Date deposited: 30 Nov 2009 17:11
Last modified: 14 Mar 2024 09:07

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Contributors

Author: Sheng Chen
Author: Xia Hong
Author: Bing L. Luk
Author: Chris J. Harris

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