| 基于模糊聚类的模糊神经网络控制 |
| |
| 引用本文： | 吴文进,汪洪波,江善和.基于模糊聚类的模糊神经网络控制[J].自动化与仪器仪表,2009(3):9-11. |
| |
| 作者姓名： | 吴文进 汪洪波 江善和 |
| |
| 作者单位： | 1. 安庆师范学院物理与电气工程学院,安徽安庆,246011
2. 合肥工业大学机械与汽车工程学院,安徽合肥,230009 |
| |
| 基金项目： | 安徽省教育厅自然科学基金 |
| |
| 摘 要： | 对于复杂的非线性离散系统，提出将模糊聚类算法同神经网络相结合，使用衡量聚类有效性的S函数确定模糊规则数目，进而确定模糊神经网络的结构；控制器的设计应用LMI方法。以典型的非线性系统二级倒立摆为例，在Matlab中进行仿真实验，结果表明，基于聚类算法的神经网络控制能够在较大范围的初始状态下使系统获得稳定。
|
| 关 键 词： | 模糊模型 神经网络 模糊聚类 系统辨识 |
A fuzzy neural network control based on fuzzy clustering algorithm |
| |
| WU Wen-jin,WANG Hong-bo,JIANG Shah-he.A fuzzy neural network control based on fuzzy clustering algorithm[J].Automation & Instrumentation,2009(3):9-11. |
| |
| Authors: | WU Wen-jin WANG Hong-bo JIANG Shah-he |
| |
| Abstract: | For complex nonlinear discrete-time systems, dynamic fuzzy clustering algorithm is combined with the neural netwock and a function for measuring clustering validity is defined with which the number of fuzzy rules can be detemined in order to determine the structure of fuzzy neural network. The controller is designed by Linear Matrix Inequality（LMI） theory,The double Inverted pendulum is a typical model of multi-variable, nonlinear system. Its simulation experiment is done in MATLAB. The simulation demonsrates the of the neural network control based on dynamic fuzzy clustering algorithm. |
| |
| Keywords: | Fuzzy model Neural network Fuzzy clustering System identification |
| 本文献已被 维普 万方数据 等数据库收录！ |
