Simulation research on abs self - optimizing control method 防抱制動系統(tǒng)自尋優(yōu)控制的仿真研究
Factor two level self - optimizing fuzzy controller with time - varying modifying 時變修正因子二級自尋優(yōu)模糊控制器
Self - optimizing control 自尋優(yōu)控制
Self - optimizing system 自尋優(yōu)系統(tǒng)
Components that help enable system resources to self - configure , self - heal , self - optimize , and self - protect 組件使用,使系統(tǒng)資源能夠實現(xiàn)自配置、自修復、自優(yōu)化和自保護。
In addition , fuzzy dynamic self - optimizing control method is adopted in air supplying circuit for boiler ' s working at the best situation 另外,在送風回路中采用了模糊動態(tài)自尋優(yōu)控制方案,為鍋爐運行于最佳燃燒狀態(tài),提供了必要的保證。
The comparative experimental results show that the self - optimized connection pool is superior to the current connection pool both in reducing the resource possession of computer system and in enhancing visiting speed for large - scale application system 通過與現(xiàn)有連接池的實驗比較,說明自優(yōu)化連接池在減少資源占用,提高大型應用系統(tǒng)的訪問速度上優(yōu)于現(xiàn)有連接池。
Thirdly , two major strategies are presented : one is a fuzzy controller with self - adjusting of parameters which is applied to boiler burning system ; the other is a self - optimizing controller which is applied to the blasting system 其中,總結操作人員成功的經驗,提出兩種控制策略:其一是基本模糊控制器和帶參數(shù)自調整模糊控制器,引入鍋爐燃料控制系統(tǒng)中;另一種是模糊自尋優(yōu)控制器,用于送風控制系統(tǒng)中。
Then a combustion evolution optimizing system based on the radiant energy measuring was built , economical boiler combustion adjustment was carried out , under the combined action of a controller based on fuzzy self - optimizing of fume 在此基礎上,建立了基于輻射能檢測的燃燒進化優(yōu)化系統(tǒng),通過煙氣含氧量與爐膛總輻射能的模糊自尋優(yōu)控制器和風煤比進化優(yōu)化器組成的燃燒優(yōu)化回路的共同作用,對鍋爐進行燃燒經濟性調節(jié),達到燃燒優(yōu)化控制的目的。
During the realization of integration optimization , based on former integration scheme relation drawings , paper brings forward the integration scheme optimize - path searching algorithm and self - optimize algorithm and gets the integration scheme objects ensemble which is 在聚集優(yōu)化的實現(xiàn)當中,本文基于原聚集方案關系圖,提出了一種聚集方案最優(yōu)尋徑算法與自身優(yōu)化算法,從而得到一個聚集代價較低,又能夠滿足當前用戶需求的聚集方案實體化集合。