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This paper presents the development of anonparametric model that represents the dynamic behaviourof a flexible beam system utilizing several artificial neuralnetwork algorithms. Input-output data used in this study isobtained from Finite Difference algorithm's simulation. Thealgorithm is validated through comparison of its naturalfrequencies of vibration with the theoretical values. For systemidentification,...
This paper presents the non-parametric approach using Artificial Neural Network (ANN) in modelling and vibration control of a flexible beam structure. Elman Network structure has been selected to be used in dynamic modelling and system identification of the flexible beam. Several validation tests also have been carried out in order to measure the reliability of the nonparametric model developed. Later,...
In this paper, the development of dynamic model of flexible cantilever (fixed-free) beam in transverse motion using FD approach is presented. Validation using theoretical value is carried out in order to ensure the reliability of the developed FD algorithm. Next, system identification using non-parametric Neural Network (NN) methods: Multilayer Perceptron (MLP) and ELMAN networks are developed. To...
The simulation of proportional-integral derivative (PID) controller was performed within Matlab SIMULINK environment. Intelligent Iterative Learning Algorithm (ILA) was utilized to tune the parameters of PID controllers, Kp, Ki, Kd to control Active Vibration Controller (AVC) of flexible beam structure. The dynamic characteristics of flexible beam were identified using neural network algorithm. During...
The dynamics characterisation and modelling of a flexible cantilever (fixed-free) beam in transverse motion is presented in this paper. Finite Difference (FD) numerical analysis method is used to simulate the vibration of flexible cantilever beam system. The FD algorithm developed is validated through comparison of its natural frequencies of vibration with the theoretical values. Using input-output...
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