基于对象模型的自组织专家系统  

A SELF-ORGANIZATION EXPERT SYSTEM BASED ON OBJECT MODEL FOR ROBOT

作　　者：邵鹏鸣[1] 吴翰声[2] 李成刚[1] 

机构地区：[1]华中理工大学CAD中心,湖北武汉430074 [2]番禺理工学院机电系,广东番禺511483

出　　处：《计算机应用》2000年第4期24-27,共4页journal of Computer Applications

摘　　要：在研制的一个基于对象模型的自组织专家系统中 ,通过对机器人的行走装置进行模型化 ,建立了对象的模糊知识库 ,并根据控制的目标 ,设计了推理机。系统无需精确的数学模型 ,能根据输入、输出变量 ,自动修改控制规则 ,达到优化控制的目的。A self organization expert system based on object model for robot is developed. In the system the fuzzy knowledge bases of the object are established by modeling walking device of the robot and the reasoning engine is designed according to fuzzy control aim. There needs no accurate control model in the system. The system can automatically modify control rules according to input/output variables. Therefore the system can achieve optimum control. In this paper we introduce the fuzzy knowledge representation method, the fuzzy knowledge representation method, the structure of fuzzy knowledge bases and the fuzzy control reasoning of the object model.

关 键 词：对象模型 深知识 自组织专家系统 智能机器人 

分 类 号：TP242.6[自动化与计算机技术—检测技术与自动化装置] TP18[自动化与计算机技术—控制科学与工程]