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Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Neuro Modelling of Flexible Plate Structure Rig for Development of Active Vibration Control Algorithm
This paper presents an investigation into the performance of system identification using Backpropagation Multi-layer Perceptron Neural Networks algorithm for identification of a flexible plate system. Details of the implementation and the experimental studies are given and analyzed in the paper. The input-output data of the system were first acquired through the experimental studies using National Instrumentation (NI) data acquisition system. A sinusoidal force was then applied to excite the flexible plate and the dynamic response of the system was investigated. A linear parametric model of the system is developed using Recursive Least Square (RLS). Furthermore, a non-parametric model of the system is developed using Multi-layer Perceptron Neural Networks (MLP-NN). Later a comparative performance of the approaches used is presented and discussed. Finally, the validity of the obtained model was investigated using correlation tests.
Neuro Modelling of Flexible Plate Structure Rig for Development of Active Vibration Control Algorithm
This paper presents an investigation into the performance of system identification using Backpropagation Multi-layer Perceptron Neural Networks algorithm for identification of a flexible plate system. Details of the implementation and the experimental studies are given and analyzed in the paper. The input-output data of the system were first acquired through the experimental studies using National Instrumentation (NI) data acquisition system. A sinusoidal force was then applied to excite the flexible plate and the dynamic response of the system was investigated. A linear parametric model of the system is developed using Recursive Least Square (RLS). Furthermore, a non-parametric model of the system is developed using Multi-layer Perceptron Neural Networks (MLP-NN). Later a comparative performance of the approaches used is presented and discussed. Finally, the validity of the obtained model was investigated using correlation tests.
Neuro Modelling of Flexible Plate Structure Rig for Development of Active Vibration Control Algorithm
Darus, I.Z. Mat (Autor:in) / Al-Khafaji, A.A M. (Autor:in) / Jamid, M.F. (Autor:in)
2010
6 Seiten, 8 Quellen
Aufsatz (Konferenz)
Englisch
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