节点文献
自组织模糊控制的分类与进展
Categories and New Achievements of Self-Organizing Fuzzy Control
【Author】 Dai Xuefeng,Zhang Jing and Liu Yanjiu Computer and Control Engineering Institute,Qiqihar University,Qiqihar,Heilongjiang,161006 xfdai@tom.com
【机构】 齐齐哈尔大学计算机与控制学院;
【摘要】 自组织模糊控制具有不依赖专家知识产生和优化推理规则的优点。本文将根据自组织模糊控制中模糊推理规则的生成形式、控制器实现方式和它与传统控制方法的结合几个方面,对自组织模糊进行了分类和综述,介绍了该方法的应用并指出了未来的研究方向。
【Abstract】 Self-organizing fuzzy control have several significant advantages such as generating inference fuzzy rules without knowledge from experts, selecting optimal rules and membership functions parameters, etc. In this paper, the achievements in self-organizing fuzzy control are categorized and reviewed based on the way the fuzzy rules are generated and the manners the controllers are realized, and their combination with traditional control schemes, respectively. The applications of self-organizing fuzzy control and future research topics are marked.
【Key words】 Self-organizing fuzzy control; learning control; neural networks; genetic algorithm;
- 【会议录名称】 2005年中国智能自动化会议论文集
- 【会议名称】2005年中国智能自动化会议
- 【会议时间】2005-08
- 【会议地点】中国青岛
- 【分类号】TP273
- 【主办单位】中国自动化学会智能自动化专业委员会、中国科学院自动化研究所