| 引用本文: | 王 晶 ， 李玉兰，蔡自兴 沈 理.基于遗传算法的模糊系统优化设计方法*[J].控制理论与应用,1999,16(2):699~704.[点击复制] |
| Wang Jing， Li Yulan， Cai Zixing， Shen Li.An Optimal Design Approach for Fuzzy System Based on Genetic Algorithm[J].Control Theory and Technology,1999,16(2):699~704.[点击复制] |
|
| 基于遗传算法的模糊系统优化设计方法* |
| An Optimal Design Approach for Fuzzy System Based on Genetic Algorithm |
| 摘要点击 926 全文点击 380 投稿时间：1997-09-12 修订日期：1998-02-20 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 |
| 1999,16(2):699-704 |
| 中文关键词 模糊系统 模糊遗传算法 优化设计 |
| 英文关键词 fuzzy system fuzzy genetic algorithm optimal design |
| 基金项目 |
|
| 中文摘要 |
| 提出一种带有混合变长编码和模糊变异算子的新型模糊遗传算法，并将其应用到模糊系统的优化设计中．仿真结果表明，这种方法具有即使系统缺乏任何先验知识，也能通过评价学习、遗传优化获得满足系统动态性能的优化控制规则的特点. |
| 英文摘要 |
| This paper proposes a novel fuzzy genetic algorithm,which has the characteristics of hybrid length-varying cod-ing scheme,separates optimal ability and fuzzy mutation operator.The fuzzy genetic algorithm is applied to the optimal design of fuzzy systems.Simulation results performed on the inverted pendulum control show that proposed desiign scheme can acquire the satisfied dynamic performance by learning and genetic optimization even for lack of any prior knowledge. |