| 基于递阶遗传算法的模糊控制系统的模糊集优化研究 |
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| 引用本文： | 郭西进,周勇,巩敦卫.基于递阶遗传算法的模糊控制系统的模糊集优化研究[J].信息与控制,2003,32(6):561-563. |
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| 作者姓名： | 郭西进 周勇 巩敦卫 |
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| 作者单位： | 中国矿业大学信息与电气工程学院,江苏,徐州,221008 |
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| 摘 要： | 由于模糊系统的输入、输出变量模糊集中模糊集的多少直接影响到模糊规则集的完备程度，并决定着控制系统的性能，所以本文提出了一种基于递阶遗传算法的模糊控制系统的模糊集优化方法，同时对模糊集的个数和形状进行优化，使其能尽量完美地反映系统输入、输出变量，减少了规则的冗余．对二阶动态系统的仿真研究证明了该方法的有效性．
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| 关 键 词： | 递阶遗传算法 模糊控制 隶属度函数 模糊集 |
| 文章编号： | 1002-0411(2003)06-0561-03 |
STUDY ON OPTIMIZATION OF FUZZY SETS OF FUZZY CONTROL SYSTEM BASED ON HIERARCHICAL GENETIC ALGORITHMS |
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| GUO Xi-jin,ZHOU Yong,GONG Dun-wei.STUDY ON OPTIMIZATION OF FUZZY SETS OF FUZZY CONTROL SYSTEM BASED ON HIERARCHICAL GENETIC ALGORITHMS[J].Information and Control,2003,32(6):561-563. |
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| Authors: | GUO Xi-jin ZHOU Yong GONG Dun-wei |
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| Abstract: | Because the number of the fuzzy sets in input and output variable fields directly affects the completeness of fuzzy rules and decides the performance of control system, an approach for optimizing fuzzy sets based on hierarchical genetic algorithms is proposed in this paper, which optimizes the number and shape of fuzzy sets in fields simultaneously, makes fuzzy sets distribution orderly and reduces rules redundancy. The simulation results of second ordered system show that the approach presented is effective. |
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| Keywords: | hierarchical genetic algorithm fuzzy control membership function fuzzy sets |
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