摘要
本文将序列模型逼近法推广到稳态大系统的递阶优化与控制中去。文中采用拉格朗日乘子技术使问题得以分解;同时给出推广的算法在单迭代和双迭代策略下的公式推导,并用数值例题对两种迭代策略以及推广的算法与修正两步法进行比较。仿真结果表明:本文提出的推广算法比以前的修正两步法收敛速度快,数值稳定性好。
This paper extends the sequence model approximation (SMA) approach to hierachical control of large-scale steady state systems. The extended method adopts the Lagrange multiplier technique to decompose the problem. And the formulations in both single-iterative and double-iterative cases are derived. The comparison of two iterative strategies is given by studying some examples. Also the comparison between the new algorithm and the modified two -step (MTS) method is made.Computer simulation results exhibit that the new method requires much less set-point changes, and has a better algorithmic sta-bility than the MTS technique.
出处
《控制与决策》
EI
CSCD
北大核心
1990年第1期1-6,共6页
Control and Decision
