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PSO assisted NURB neural network identification

PSO assisted NURB neural network identification
PSO assisted NURB neural network identification
A system identification algorithm is introduced for Hammerstein systems that are modelled using a non-uniform rational B-spline (NURB) neural network. The proposed algorithm consists of two successive stages. First the shaping parameters in NURB network are estimated using a particle swarm optimization (PSO) procedure. Then the remaining parameters are estimated by the method of the singular value decomposition (SVD). Numerical examples including a linear pole assignment controller are utilized to demonstrate the efficacy of the proposed approach.
Hong, Xia
e6551bb3-fbc0-4990-935e-43b706d8c679
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hong, Xia
e6551bb3-fbc0-4990-935e-43b706d8c679
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Hong, Xia and Chen, Sheng (2012) PSO assisted NURB neural network identification. 8th International Conference on Intelligent Computing, China. 25 - 29 Jul 2012. 11 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

A system identification algorithm is introduced for Hammerstein systems that are modelled using a non-uniform rational B-spline (NURB) neural network. The proposed algorithm consists of two successive stages. First the shaping parameters in NURB network are estimated using a particle swarm optimization (PSO) procedure. Then the remaining parameters are estimated by the method of the singular value decomposition (SVD). Numerical examples including a linear pole assignment controller are utilized to demonstrate the efficacy of the proposed approach.

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e-pub ahead of print date: July 2012
Published date: July 2012
Venue - Dates: 8th International Conference on Intelligent Computing, China, 2012-07-25 - 2012-07-29
Organisations: Southampton Wireless Group

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Local EPrints ID: 341402
URI: http://eprints.soton.ac.uk/id/eprint/341402
PURE UUID: f0aebc70-1679-430c-b393-9653388bdc6e

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Date deposited: 24 Jul 2012 10:42
Last modified: 19 Jul 2019 21:55

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Contributors

Author: Xia Hong
Author: Sheng Chen

University divisions

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