摘要
利用模糊减法聚类技术,建立初始的模糊推理系统(FIS)结构,然后利用自适应神经模糊推理系统(ANFIS) 函数对模糊模型进行训练,得出模糊神经网络解耦控制块．实现了对三容系统的解耦及液位控制．利用Matlab仿真工具,对自适应模糊神经网络解耦控制系统进行了研究,结果表明,其与传统的输入变换和状态反馈解耦控制相比,动态响应快,鲁棒性好,具有优异的性能．
The fuzzy subclustefing technology is used to build the initial fuzzy illation system（FIS） structure while the ANFIS technology is used to train the fuzzy model in the decoupling control system of three tank system. The results of Matlab simulation show that the serf-adaptive fuzzy-neural network decoupling control system has more excellent dynamic performanee and robustness than the traditional decoupling method for input transforming and state feedback.
出处
《包头钢铁学院学报》
CAS
2005年第4期357-360,共4页
Journal of Baotou University of Iron and Steel Technology
