06105244

a

06105244 Hong, Xia Chen, Sheng PSO assisted NURB neural network identification. Huang, De-Shuang (ed.) et al., Intelligent computing technology. 8th international conference, ICIC 2012, Huangshan, China, July 25--29, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-31587-9/pbk). Lecture Notes in Computer Science 7389, 1-9 (2012). 2012 Berlin: Springer EN B-spline NURB neural networks De Boor algorithm Hammerstein model pole assignment controller particle swarm optimization system identification

doi:10.1007/978-3-642-31588-6_1

Summary: 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 are utilized to demonstrate the efficacy of the proposed approach.