摘要
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 。
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.
出处
《控制与决策》
EI
CSCD
北大核心
2002年第2期143-147,共5页
Control and Decision
基金
国家自然科学基金项目 (6 0 0 740 0 46 9934 0 2 0 )
上海市曙光计划项目
