Research on modeling of nonlinear vibration isolation system based on Bouc–Wen model
A feedforword neural network of multi-layer topologies for systems with hysteretic nonlinearity is constructed based on Bouc–Wen differential model. It not only reflects the hysteresis force characteristics of the Bouc–Wen model, but also determines its corresponding parameters. The simulation resul...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2014-12-01
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| Series: | Defence Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214914714000804 |
| Summary: | A feedforword neural network of multi-layer topologies for systems with hysteretic nonlinearity is constructed based on Bouc–Wen differential model. It not only reflects the hysteresis force characteristics of the Bouc–Wen model, but also determines its corresponding parameters. The simulation results show that restoring force–displacement curve hysteresis loop is very close to the real curve. The model trained can accurately predict the time response of system. The model is checked under the noise level. The result shows that the model has higher modeling precision, good generalization capability and a certain anti-interference ability. |
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| ISSN: | 2214-9147 |