基于模糊神经网络的结构非模型主动控制

本文将模糊人工神经网络运用到结构的主动控制中，用模糊联想记忆（ＦＡＭ）神经网络作为控制器，对在地震力下的结构振动进行主动控制，控制过程中无须引入结构的运动模型和精确参数。数值仿真的结果表明，该控制系统具有适应能力强，消振迅速且效果良好的特点。

Model free active control of structures using FAM networks

This paper applies the fuzzy neural networks to the active control of the structures. The structures under the earthquake excitation will be controlled through the use of fuzzy associative memory (FAM) networks without knowing the models and parameters of the structures. The results of the numerical simulations indicate that this controller has a good capability of adapting changing environment and a good effect on reducing the vibration of the structures.