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《Journal of Earthquake Engineering and Engineering Vibration》 2007-06
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Fuzzy neural network control of across wind response for tall buildings

YAN Guiyun 1,2,SUN Bingnan2(1.Department of Civil Engineering,Fujian University of Technology,Fuzhou 350007,China2.Department of Civil Engineering,Zhejiang University,Hangzhou 310027,China)  
The definition of a benchmark control problem for wind-induced tall buildings was presented.A fuzzy neural network controller,in which few sensors and no observer were needed,was designed on the basis of the measurement of floor accelerations and control forces.The fuzzy neural network controller to predict control action eliminated the effects of time delay in the control loop.With a fuzzy logic control strategy,it's difficult to obtain an appropriate set of rules and membership functions.But it's easy to solve these problems utilizing the ability of adaptive learning of the fuzzy neural network controller.Numerical simulation was carried out for analyzing the wind-induced responses of the benchmark building.The analysis results show that the control strategy using fuzzy neural network has good performance in reducing across wind response of the benchmark building.
【Fund】: 福建省青年科技人才创新项目(No.2006F3008);; 福建省教育厅基金项目(No.JA06027)
【CateGory Index】: TU973.2
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