利用模糊满意聚类建立pH 中和过程模型

利用模糊聚类方法建立 p H中和过程模型。针对模糊聚类中普遍存在的聚类个数需事先给定和收敛速度慢等问题 ,在原有聚类方法的基础上提出一种模糊满意聚类算法。该算法能快速确定系统的模糊划分数目 ,进而对应聚类个数建立相应的 TS局部线性化模型。以典型 p H中和过程为研究对象 ,利用上述方法建立其系统模型 ,取得了良好的仿真效果 ,验证了该聚类算法的快速性和有效性

Modeling of pH neutralization processes using fuzzy satisfactory clustering

The modeling of pH processes via fuzzy satisfactory clustering algorithm is concerned. A fuzzy clustering algorithm is presented to solve the commonly existed problems in fuzzy clustering algorithm, such as giving clustering number in advance and slow convergence. Using satisfactory clustering algorithm, a nonlinear system can be quickly divided into several fuzzy parts. Regarding cluster number as rule number, TS fuzzy model can be built. According to typical pH processes, satisfied simulation results are obtained by the proposed modeling method. The prompt and effective performance of the modified clustering algorithm is evaluated simultaneously.