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。
This paper extends the sequence model approximation (SMA) approach to hierachical control of large-scale steady state systems.
在此框架下，我们得到了半离散与全离散情形的最佳逼近阶的估计。
Under this frame the optimal error estimates are obtained for semidisecrcte and fully discrete states.
利用双尺度相似变换构造了高逼近阶的双正交尺度向量。
The biorthogonal multi-scaling vector with higher approximation order was constructed using TST.
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