Robust design method of predictive controller parameter based on min - max ruler 的預(yù)測控制魯棒參數(shù)設(shè)計
An approximation algorithm for min - max tree partitioning and an optimal algorithm for min - sum tree partitioning 最小最大樹劃分的近似算法與最小和樹劃分的精確算法
( 3 ) dual - rate min - max robust generalized predictive control algorithm is proposed , which adds a constraint output horizon to improve the system properties ( 3 )給出了一類新的雙速率采樣min - max魯棒廣義預(yù)測控制
Objectives evaluation function is made by using virtual objective method and min - max method . genetic algorithms are used to solve the optimization problem quickly and sufficiently 綜合虛擬目標(biāo)法和極小極大法,構(gòu)造兩個優(yōu)化目標(biāo)的評價函數(shù),然后采用遺傳算法尋優(yōu)。
A new merit function ( potential function ) is constructed in chapter three , based on the balanced effect of the min - max problem . because of the non - smoothness , shannon entropy is used to smooth the merit function 鑒于該效益函數(shù)是非光滑的,不便于操作,使用前一章給出光滑函數(shù)做了光滑處理,而得到的光滑效益函數(shù)是一個凸函數(shù)。