基于模式匹配的模糊控制算法  

Fuzzy control algorithm based on pattern matching

作　　者：张曾科[1] 丁刚[1] 

机构地区：[1]清华大学自动化系,北京100084

出　　处：《清华大学学报（自然科学版）》2000年第3期72-75,共4页Journal of Tsinghua University(Science and Technology)

摘　　要：提出了一种新的模糊控制算法 ,传统的模糊控制算法是基于模糊逻辑推理的 ,而这种算法是基于模式匹配的。对于模糊控制器的模型 ,定义了模糊集合匹配度和模糊规则匹配度 ,在此基础上给出了基于模式匹配的模糊控制算法的模型和设计步骤。就该算法与经典模糊控制算法的联系进行了讨论 ,证明它包含了经典模糊控制中最常用的 Mamdani和 L arsen算法。另外 ,还定义了更为简便的算法。最后给出了这种算法的仿真实验结果 ,结果表明该算法是可行的、有效的。New fuzzy control algorithm was proposed using pattern matching rather than the traditional fuzzy control algorithm which was based on fuzzy logical inference. The fuzzy set matching degree defiantion and the fuzzy rule matching degree definition were used to develop the model and the design steps. The relationship between this algorithm and traditional fuzzy control algorithms was discussed showing that this algorithm includes the Mamdani and Larsen fuzzy control algorithms that were most frequently used. Simulation results show that the fuzzy control algorithm based on pattern matching is feasible and effective.

关 键 词：模糊控制 模式匹配 模糊集合匹配度 算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]