Robust design method of predictive controller parameter based on min - max ruler 的预测控制鲁棒参数设计
An approximation algorithm for min - max tree partitioning and an optimal algorithm for min - sum tree partitioning 最小最大树划分的近似算法与最小和树划分的精确算法
( 3 ) dual - rate min - max robust generalized predictive control algorithm is proposed , which adds a constraint output horizon to improve the system properties ( 3 )给出了一类新的双速率采样min - max鲁棒广义预测控制
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 综合虚拟目标法和极小极大法,构造两个优化目标的评价函数,然后采用遗传算法寻优。
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 鉴于该效益函数是非光滑的,不便于操作,使用前一章给出光滑函数做了光滑处理,而得到的光滑效益函数是一个凸函数。