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On-Line Parameter Estimation for Deterministic System

確定性系統之線上參數估測

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摘要


本文提出在已知模式架構下線上參數估測演算法,所謂線上估測是可處王連續性資料,而此資料是在取樣週期之時間內可疊代更新以做參數估測。本文特別強調投影演算法及最小平方演算法並詳細證明及推導,並可有效地應用至適應性濾波、預測,及控制問題上。

並列摘要


In this paper we are presented primarily on-line algorithms for the estimation of parameters within a given model structure. The on-line estimation algorithms deals with sequential data, which requires that the parameter estimates be recursively updated within the time limit imposed by the sampling period. In particular, we emphasize on-line parameter estimation scheme and study in some detail. We shall call these algorithms the projection algorithm and the least-squares algorithm. It can apply effectively to adaptive filtering, prediction, and control.

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