Introducing Neural Networks as a Computational Intelligent Technique

Aydin Azizi; Farshid Entessari; Kambiz Ghaemi Osgouie; Amirhossein Rezaei Rashnoodi

doi:10.4028/www.scientific.net/AMM.464.369

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 464Introducing Neural Networks as a Computational...

Introducing Neural Networks as a Computational Intelligent Technique

Abstract:

. Neural networks have been applied very successfully in the identification and control of dynamic systems. The universal approximation capabilities of the multilayer perceptron have made it a popular choice for modeling nonlinear systems and for implementing general-purpose nonlinear controllers. In this paper we try to model and control the mass-spring-damper mechanism as a 1 DOF system using neural networks. The control architecture used in this paper is Model reference controller (MRC) as one of the popular neural network control architectures.

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Periodical:

Applied Mechanics and Materials (Volume 464)

Pages:

369-374

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.464.369

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Online since:

November 2013

Authors:

Aydin Azizi*, Farshid Entessari, Kambiz Ghaemi Osgouie, Amirhossein Rezaei Rashnoodi

Keywords:

Control, Dynamic Systems, Function Approximation, Mass-Spring-Damper Mechanism, MRC, Neural Network (NN)

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* - Corresponding Author

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