一种粗糙规则化的双因子免疫控制器  

A rough-regularized two-cell immune controller

作　　者：李韡[1] 付冬梅[1] 

机构地区：[1]北京科技大学信息工程学院,北京100083

出　　处：《北京科技大学学报》2009年第8期1072-1076,共5页Journal of University of Science and Technology Beijing

基　　金：国家自然科学基金资助项目(No.60573016);北京市教委重点学科共建资助项目(No.XK100080537)

摘　　要：根据粗糙集理论原理,从双因子免疫控制器的控制数据中抽取出控制规则,利用本文提出的一种新的规则评价标准筛选出优秀的规则构造控制器,即粗糙规则化的双因子免疫控制器,来对对象进行控制.通过仿真实验证明,粗糙规则化的双因子免疫控制器不但能够体现出普通双因子免疫控制器的学习记忆能力和抗滞后性能,而且在抗干扰性能和响应速度方面都有明显提高.According to the rough sets theories, rules can be extracted from the control data of a two-cell immune controller. With a new criterion proposed in this paper, the best rules were selected to compose the rough-regularized two-cell immune controller. From a normal two-cell immune controller to a rough-regularized two-cell immune controller, the characteristic of self-learning and anti-delay can be inherited, which is proved through a simulation. The better anti-disturb ability and faster response were also demonstrated.

关 键 词：免疫控制器 粗糙集 控制规则 规则评价 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]