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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
This paper proposes a method and a method of dynamically constructing fuzzy logic system based on the metric of proximity.The method includes: after the preprocessing of the rule base described by the expert, a set of Takagi-Kanno-type fuzzy logic system is obtained; according to the actual input Vector dynamic real-time to construct a fuzzy logic system; adaptive adjustment of the controller parameters to robot control, for example, gives the simulation results