polynomial predictive filtering-Kalman filtering 卡尔曼滤波 ; 多项式预测滤波
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Predictive filtering based on minimum model error is introduced to realize real time identification of unknown perturbations and conquer influence of model error.
引入基于模型误差最小准则的预测滤波算法，实现对未知扰动的实时辨识与估计，克服模型误差影响。
For the proposed one we use the fast RLS algorithm in lattice predictive filtering part with some modification and the LMS in adaptive transversal filtering part.
算法在格型预测器部分采用快速RLS算法，而在自适应横向滤波器部分采用LMS算法，并加以适当改进。
The compound control technology, the predictive filtering technology also obtains the utilization. In the precondition of the system's stabilization, the system 's precision has improved greatly.
复合控制技术、预测滤波技术也得到运用，在保证系统稳定的前提下，系统精度得到很大的提高。
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