Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����

H., Zabiri and M., Ramasamy and T. D. , Lemma and Maulud, Abdulhalim (2013) Identification of Nonlinear Systems Using Parallel Laguerre-NN Model ������ ����. [Citation Index Journal]


Official URL: http://www.sciencedirect.com/science?_ob=ArticleUR...


In this paper, a nonlinear system identification framework using parallel linear-plus-neural networks model is developed. The framework is established by combining a linear Laguerre filter model and a nonlinear neural networks (NN) model in a parallel structure. The main advantage of the proposed parallel model is that by having a linear model as the backbone of the overall structure, reasonable models will always be obtained. In addition, such structure provides great potential for further study on extrapolation benefits and control. Similar performance of proposed method with other conventional nonlinear models has been observed and reported, indicating the effectiveness of the proposed model in identifying nonlinear systems.

Item Type:Citation Index Journal
Uncontrolled Keywords:Nonlinear system identification, orthonormal basis filters, neural networks
Subjects:Q Science > Q Science (General)
T Technology > TP Chemical technology
Academic Subject One:Academic Department - Chemical Engineering - Advance Process Control
Departments / MOR / COE:Departments > Chemical Engineering
ID Code:10746
Deposited By: Haslinda Zabiri
Deposited On:16 Dec 2013 23:48
Last Modified:16 Dec 2013 23:48

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