NEURAL NETWORK BASED HAMMERSTEIN SYSTEM IDENTIFICATION USING PARTICLE SWARM SUBSPACE ALGORITHM

S. Z. Rizvi, H. N. Al-Duwaish

2010

Abstract

This paper presents a new method for modeling of Hammerstein systems. The developed identification method uses state-space model in cascade with radial basis function (RBF) neural network. A recursive algorithm is developed for estimating neural network synaptic weights and parameters of the state-space model. No assumption on the structure of nonlinearity ismade. The proposed algorithm works under the weak assumption of richness of inputs. The problem of modeling is solved as an optimization problem and Particle Swarm Optimization (PSO) is used for neural network training. Performance of the algorithm is evaluated in the presence of noisy data and Monte-Carlo simulations are performed to ensure reliability and repeatability of the identification technique.

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Paper Citation


in Harvard Style

Z. Rizvi S. and N. Al-Duwaish H. (2010). NEURAL NETWORK BASED HAMMERSTEIN SYSTEM IDENTIFICATION USING PARTICLE SWARM SUBSPACE ALGORITHM . In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 182-189. DOI: 10.5220/0003072401820189


in Bibtex Style

@conference{icnc10,
author={S. Z. Rizvi and H. N. Al-Duwaish},
title={NEURAL NETWORK BASED HAMMERSTEIN SYSTEM IDENTIFICATION USING PARTICLE SWARM SUBSPACE ALGORITHM},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)},
year={2010},
pages={182-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003072401820189},
isbn={978-989-8425-32-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)
TI - NEURAL NETWORK BASED HAMMERSTEIN SYSTEM IDENTIFICATION USING PARTICLE SWARM SUBSPACE ALGORITHM
SN - 978-989-8425-32-4
AU - Z. Rizvi S.
AU - N. Al-Duwaish H.
PY - 2010
SP - 182
EP - 189
DO - 10.5220/0003072401820189