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一種粗糙規則化的雙因子免疫控制器

A rough-regularized two-cell immune controller

  • 摘要: 根據粗糙集理論原理,從雙因子免疫控制器的控制數據中抽取出控制規則,利用本文提出的一種新的規則評價標準篩選出優秀的規則構造控制器,即粗糙規則化的雙因子免疫控制器,來對對象進行控制.通過仿真實驗證明,粗糙規則化的雙因子免疫控制器不但能夠體現出普通雙因子免疫控制器的學習記憶能力和抗滯后性能,而且在抗干擾性能和響應速度方面都有明顯提高.

     

    Abstract: 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.

     

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