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《Sichuan Building Science》 2013-02
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Prediction simulation of structure dynamic response based on Simulink

GUO Jianhong1,MU Yinnan1,TANG Wen1,DENG Xicheng2(1.College of Civil Engineering,Shanghai Normal University,Shanghai 201418,China; 2.International Engineering Group Co.,Ltd.China Building Materials,Shanghai 201418,China)  
The prediction simulation of seismic response for the structure based on the neural network toolbox function of Matlab/Simulink.Utilizing the RBF neural network to precede the dynamic response prediction upon the real time seismic data could solve the problem,such as,time lag which exists in the vibration controlling and the noise disturbing of the measure system,effectively.By compared with dynamic response prediction data and actual system vibration response data for the top floor and one of the normal floors of the structure verify the possibility,which verify the neural network function of the Simulink to predict the dynamic response of the controlled system.This verification also lay the foundation for the further real time structure control research,that utilize the sequential optimal control method calculating the predicted dynamic response data to achieve the final controlling force of the controlled system.
【Fund】: 上海师范大学科研基金项目(SK201341)
【CateGory Index】: TU311.3
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