稳态大系统中关联平衡法的改进  

Improving on Interaction Balance Method in Steady State Large Scale Systems

作　　者：钱富才[1] 万百五[1] 

机构地区：[1]西安交通大学系统工程研究所

出　　处：《系统工程理论与实践》1998年第8期87-90,共4页Systems Engineering-Theory & Practice

摘　　要：对于子系统的性能指标按一定顺序耦合的稳态大系统，本文采用两级递阶优化控制算法。利用上下级之间的纵向信息交换对子系统之间的关联进行解耦，利用子系统之间的横向信息传递对目标函数进行解耦，这种方法是对关联平衡法的改进，从而，解决了一类不可分的稳态优化问题，仿真效果好。This paper adopts twolevel hierarchical optimization control algorithm for steady state large scale systems that performance indices exist interaction as order.Through information exchanging between above and inferior level, the interaction of subsystems is solved.Through information sending among subsystems,the interaction of performance indices is solved.The approach improve interaction balance method.Thus, we find the answer to a class of non separable steady state optimization problems

关 键 词：大系统 稳态优化 递阶控制 关联平衡法 

分 类 号：N94[自然科学总论—系统科学]