Mohd. Hashim, Siti Zaiton and Mat Darus, Intan Zaurah and Tokhi, Mohd 0sman (2004) Nonlinear dynamic modelling of flexible beam structures using neural networks. In: ICM '04: Proceedings of the IEEE International Conference On Mechatronics 2004. IEEE, USA, pp. 171-175. ISBN 0780385993
Restricted to Repository staff only
Official URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumbe...
This paper investigates the utilisution of back propagation neural networlu (NNs) for modelling flexible beam structures infixed-free mode; a simple repsentation of an aircrufr wing or robot arm. A comparative performance of the NN model and conventional recursive least square scheme, in characterising the system is carried out in the time and frequency domains. Simulated results demonstrate that using NN approach the system is modelled better than with the conventional linear modelling approach. The developed neuro-modelling approach will firther be utilized in the design and implementation of suitable controllers, for vibration slippression in such system.
|Item Type:||Book Section|
|Additional Information:||ISBN: 0780385993 Proceedings of the IEEE International Conference on Mechatronics 2004, ICM'04; 3-5 June 2004, Istanbul.|
|Uncontrolled Keywords:||ISBN: 0780385993 backpropagation, computer simulation, control equipment, flexible structures, identification (control systems) least squares approximations, neural networks, nonlinear control systems, recursive functions, vibrations (mechanical), flexible beams, nonlinear dynamic modeling, pseudo random binary sequence (PRBS), vibration suppression|
|Subjects:||T Technology > TJ Mechanical engineering and machinery|
|Deposited By:||Ms Zalinda Shuratman|
|Deposited On:||25 Mar 2010 09:44|
|Last Modified:||08 Mar 2011 03:54|
Repository Staff Only: item control page