摘要
本文把人工智能中的专家系统技术引入模糊控制中,构造出了专家模糊控制器。该控制系统能用模式识别的方法对不同的误差信息集合进行特征识别,然后采取相应的控制策略。仿真结果证明该控制方法的可行性和有效性。
Practice has shown that fuzzy control has some advantages. But its control rules are given in advance and are static, so the improvement of the control performance is still limited. In this paper, the expert system technology in artificial intelligent has been introduced into the fuzzy control and an expert fuzzy control system has been established. The system can recognize the leading feature from different error information sets using pattern recognition method and select related control stratigies. The computer simulation results show that the control schemes developed in this paper are effective and feasible.
出处
《中国药科大学学报》
CAS
CSCD
北大核心
1990年第5期287-290,共4页
Journal of China Pharmaceutical University
关键词
模糊控制
控制器
专家系统
Fuzzy control
Expert system
Production rules
