Simulation research on abs self - optimizing control method 防抱制動系統自尋優控制的仿真研究
Factor two level self - optimizing fuzzy controller with time - varying modifying 時變修正因子二級自尋優模糊控制器
Self - optimizing control 自尋優控制
Self - optimizing system 自尋優系統
Components that help enable system resources to self - configure , self - heal , self - optimize , and self - protect 組件使用,使系統資源能夠實現自配置、自修復、自優化和自保護。
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自尋優控制方案,為鍋爐運行于最佳燃燒狀態,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 通過與現有連接池的實驗比較,說明自優化連接池在減少資源占用,提高大型應用系統的訪問速度上優于現有連接池。
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自調整模糊控制器,引入鍋爐燃料控制系統中;另一種是模糊自尋優控制器,用于送風控制系統中。
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化系統,通過煙氣含氧量與爐膛總輻射能的模糊自尋優控制器和風煤比進化優化器組成的燃燒優化回路的共同作用,對鍋爐進行燃燒經濟性調節,達到燃燒優化控制的目的。
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 在聚集優化的實現當中,本文基于原聚集方案關系圖,提出了一種聚集方案最優尋徑算法與自身優化算法,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。