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IDENTIFICATION OF PARAMETER CHANGES IN A DYNAMIC SYSTEM WITH THE USE OF TIME-FREQUENCY TRANSFORMS AND NEURAL NETWORKS
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| Author(s) |
Roman Tarasewicz, Miroslaw Swiercz |
| Abstract |
The paper presents an application of neural networks to the problem of parameter identification of a mathematical model of a high-order dynamic system. The concept of the parameter identification system assembles the methods and algorithms of signal processing (time-frequency distribution), feature extraction and feature classification with neural networks. The laboratory torsional plant, which allows substantial changes of its internal parameters has been used for experiments. |
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| Filename: | 180 |
| Filesize: | 754.5 KB |
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| Type |
Members Only |
| Date |
Last modified 2006-02-08 by System |
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