Use of multilayer feedforward neural networks in identification andcontrol of Wiener model

(1996) Use of multilayer feedforward neural networks in identification andcontrol of Wiener model. Control Theory and Applications, IEE Proceedings -, 143.

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Abstract

The problem of identification and control of a Wiener model is studied. The proposed identification model uses a hybrid model consisting of a linear autoregressive moving average model in cascade with a multilayer feedforward neural network. A two-step procedure is proposed to estimate the linear and nonlinear parts separately. Control of the Wiener model can be achieved by inserting the inverse of the static nonlinearity in the appropriate loop locations. Simulation results illustrate the performance of the proposed method

Item Type: Article
Subjects: Computer
Divisions: College Of Engineering Sciences > Electrical Engineering Dept
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 16:32
Last Modified: 01 Nov 2019 17:05
URI: http://eprints.kfupm.edu.sa/id/eprint/14330