| 用 BP 算法实现模糊控制规则的自校正 |
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| 引用本文： | 邱熔胜,杨智,王宏杰.用 BP 算法实现模糊控制规则的自校正[J].兰州理工大学学报,1998(1). |
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| 作者姓名： | 邱熔胜 杨智 王宏杰 |
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| 作者单位： | 甘肃工业大学电气工程与信息工程系 |
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| 基金项目： | 清华大学智能技术与系统国家重点实验室资助项目,甘肃省自然科学基金 |
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| 摘 要： | 利用ＢＰ算法对模糊神经网络（ＦＮＮ）所能执行的控制规则进行自校正，使应用到工业过程的模糊控制器的性能得到改进．仿真结果表明，用改进后的方法设计的模糊控制器能够显著地减小系统的稳态误差，具有比较快的响应速度和较强的鲁棒性．
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| 关 键 词： | 神经网络 模糊控制 自适应控制 稳态误差 过程控制 |
Realization of auto tuning for fuzzy controlling rules by BP algorithm |
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| Qiu Rongsheng,Yang Zhi,Wang Hongjie.Realization of auto tuning for fuzzy controlling rules by BP algorithm[J].Journal of Lanzhou University of Technology,1998(1). |
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| Authors: | Qiu Rongsheng Yang Zhi Wang Hongjie |
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| Abstract: | BP algorithm is used for automatically tuning the controlling rules executable in fuzzy neural network (FNN) making the performances of fuzzy controller employed in industrial process controls improved. The results of computer simulation shows that, using fuzzy controller designed by improved method can remarkably reduce the steady state error of system exhibiting faster response and strong robustness. |
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| Keywords: | neural network fuzzy control adaptive control steady state error process control |
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