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《Journal of Vibration and Shock》 2007-01
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Yan Guiyun~(1,2),Chen Fuquan~1,Sun Bingnan~1(1.Department of Civil Engineering,Zhejiang University,Hangzhou 310027;2.Department of Civil Engineering,Fujian University of Technology,Fuzhou 350007)  
A robust fuzzy neural network methodology is proposed for vibration mitigation of tall building under across wind excitation.Based on measurement of floor accelerations and control forces,a fuzzy neural network controller(FNNC) is designed,in which few sensors and no observer are needed.The FNNC by predicting control action eliminates effects of time delay in the control loop.Utilizing the characteristics of adaptation and learning of the FNNC,it's easy to obtain an appropriate set of rules and membership functions,which are difficult to obtain by experts'experience in a fuzzy logic control strategy.The main advantage of the proposed controller is its inherent robustness and ability to handle(nonlinearity),uncertainty and time-varying properties of structures.The robustness of the controller is demonstrated through the uncertainty in stiffness(+15% and-15% varying from initial stiffness) of a benchmark building.The results of simulation show a good performance in reducing across wind-induced response by the proposed controller for all cases tested.Also the results show that the proposed controller performs slightly better than the LQG controller,while possessing several advantages over the LQG controller.
【CateGory Index】: TU973.213
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