Nonlinear System Identification Using Neural Network

Nonlinear System Identification Using Neural Network

Magneto-rheological damper is a nonlinear system. In this case study, system has been identified using Neural Network tool. Optimization between number of neurons in the hidden layer and number of epochs has been achieved and discussed by using multilayer perceptron Neural Network.

Bibliographic Details
Main Authors: Arain, Muhammad Asif, Hultmann Ayala, Helon Vicente, Ansari, Muhammad Adil
Format: Others
Language:English
Published: University of Genova (Italy) and Warsaw University of Technology (Poland) 2012
Subjects:
Nonlinear systems
System identification
Magneto-rheological damper
Neural Networks
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-28937
Description
Summary:Magneto-rheological damper is a nonlinear system. In this case study, system has been identified using Neural Network tool. Optimization between number of neurons in the hidden layer and number of epochs has been achieved and discussed by using multilayer perceptron Neural Network.

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