A software development system for fuzzy control

作者：Yang, L^*; Guo, YK; Huang, X

来源：Robotica, 2000, 18: 375-380.

• fuzzy control
• rule generation
• multi-layer feedforward network
• genetic algorithm

Fuzzy control has been widely applied in industrial controls and domestic electrical equipment. The automatic learning of fuzzy rules is a key technique in fuzzy control. In this paper, a software development system for fuzzy control is presented. Since the learning of fuzzy rules can be seen as finding the best classifications of fuzzy memberships of input-output variables in a fuzzy controller, it can also be seen as the combination optimization of input-output fuzzy memberships. Multi-layer feedforward network and genetic algorithms (GA) can be used for the automatic learning of fuzzy rules. The algorithms and their characteristics are described. The software development system has been successfully used for the design of some fuzzy controllers.

• 出版日期2000-8
• 单位上海交通大学