Radial Basis Function combination Fuzzy Sliding Mode to Active Structural Control
| Autor: | Hao-Wei Lin, 林豪煒 |
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| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 The purpose of this research is to develop a methodology combing neural network and fuzzy sliding mode to control structural, the principal prat of radial basis function is learning fast and qickly adapt to environment. First the state equation of the control system was derived to determine the dynamic responses. Then, control is carried out by taking advantages of the learning ability of neural network and fuzzy sliding mode control, forced vibration analysis are conducted to assess the effectiveness of the proposed algo-rithm.We studied the performance of FSMC and neural network on struc-ture,and compared with the systems without controlling. The simulation results show that the neural network control method of active control for building structures can decrease structural dynamic re-sponses. The results indicate that the control effectiveness is greatly influ-enced by neural network control in single or multi-degree of freedom system. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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