【摘要】 提出基于接近程度的度量来动态地构造模糊逻辑系统的原理和方法.该方法包括:在对专家描述的规则库的预处理后,得出一组高木-菅野型模糊逻辑系统;按照实际的输入向量动态实时构造出模糊逻辑系统;对控制器参数进行自适应调整.以机器人的控制为例,给出了仿真结果更多还原

【Abstract】 An efficient fuzzy control strategy is proposed which is based on equivalent metric distance of closeness between input vector and the individual rule from the conventional fuzzy rule base, including the following consecutive procedures: preprocessing of the fuzzy rule base in the form of expert_oriented language; building up an appropriately constructed Takagi_Sugeno type fuzzy logic system; setting up dynamically of a fuzzy logic system containing only those rules which are closest to the input vector; and adapting parameters of the fuzzy controller. Simulation experiment on a robot manipulator is performed to demonstrate its real_time control applications.更多还原