Journal
INTELLIGENT MATERIALS AND MECHATRONICS
Volume 464, Issue -, Pages 369-+Publisher
TRANS TECH PUBLICATIONS LTD
DOI: 10.4028/www.scientific.net/AMM.464.369
Keywords
Neural networks; Dynamic systems; Function approximation; Control; Mass-spring-damper mechanism; MRC
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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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