摘要
提出一种新的自学习模糊控制系统,该系统有机地集成了BB(Bucket—Brigade)算法和遗传算法,组成一种新的增强式学习(Reinforcement Learning)算法,能够在缺少输入—输出样本集的情况下自动学习生成模糊控制规则,调节隶属度函数。
A new self - learning fuzzy logic control system is presented. Learning is achieved by reinforcement which consists of Bucket -Brigade algorithm and genetic algorithm. The system can create fuzzy logic control rules and tune membership functions without input-output training samples.
出处
《控制与决策》
EI
CSCD
北大核心
1997年第2期188-191,共4页
Control and Decision
关键词
模糊控制
BB算法
增强式学习
fuzzy logic control, Bucket-Brigade algorithm, genetic algorithm, reinforcement learning
