首页 | 本学科首页   官方微博 | 高级检索  
     

基于T-S模糊模型的酸碱中和过程的系统辨识
引用本文:李香娜. 基于T-S模糊模型的酸碱中和过程的系统辨识[J]. 华北科技学院学报, 2010, 7(3): 56-60
作者姓名:李香娜
作者单位:北京工业大学,北京,100022;华北科技学院,电信系,北京,东燕郊,101601
摘    要:针对pH中和过程存在非线性和大滞后性的特点,建立了基于协同GK模糊聚类的T-S模糊模型。将协同模糊聚类与GK相结合进行系统辨识,提高了聚类效果,使其前件和后件参数得到优化。利用上述方法建立了pH中和过程系统模型,取得了良好的仿真效果,验证了该算法的优越性和有效性。

关 键 词:pH中和过程  T-S模糊模型  系统辨识  协同模糊聚类

System identification based on the T-S fuzzy model for pH neutralization process
LI Xiangna. System identification based on the T-S fuzzy model for pH neutralization process[J]. Journal of North China Institute of Science and Technology, 2010, 7(3): 56-60
Authors:LI Xiangna
Affiliation:LI Xiangna(1.Beijing University of Technology,Beijing 100022;2.North China Institute of Science and Technology,Yanjiao Beijing-East 101601)
Abstract:Considering the nonlinearity and hysteresis of pH neutralization process,we build a T-S fuzzy model based on the collaborative GK fuzzy clustering algorithm.By combining the collaborative fuzzy clustering algorithm and the GK fuzzy clustering algorithm,we optimize the antecedent and consequent parameters,which improves the clustering effect.Our model generates expected simulation results and verifies the advantage and the effectiveness of the algorithm.
Keywords:pH neutralization process  T-S fuzzy model  system identification  Collaborative fuzzy clustering
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号