摘要
分析量化因子及比例因子对模糊控制性能的影响 ,阐述因子自寻优的实现思想 ,提出了基于并行神经网络的因子自寻优方法。仿真结果表明 ,该方法能在线同时整定出一组满足性能要求的量化因子及比例因子 。
In this paper, the relation between factors and characteristic of system is analyzed. On this basis, a new way for factors is put forward, which appliance parallel neural networks to get self-adapt. The simulation shows that factors can be automatically obtained on-line, which satisfies the performance requirements.
出处
《电子测量与仪器学报》
CSCD
2002年第3期28-31,共4页
Journal of Electronic Measurement and Instrumentation
基金
国务院侨务办公室科研基金资助
关键词
模糊控制器
量化因子
比例因子
自寻优
Fuzzy control, quantitative factor, scaling factor, self-tuning.
