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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。
A new fuzzy control algorithm is proposed. The traditional fuzzy control algorithm is based on fuzzy logic reasoning, and the algorithm is based on pattern matching. For the model of fuzzy controller, fuzzy set matching degree and fuzzy rule matching degree are defined. Based on this, the model and design steps of fuzzy control algorithm based on pattern matching are given. The connection between this algorithm and classical fuzzy control algorithm is discussed, and it is proved that it contains the most commonly used Mamdani and Larsen algorithm in classical fuzzy control. In addition, the definition of a more simple algorithm. Finally, the simulation results of this algorithm are given. The results show that the algorithm is feasible and effective.