數值化的控制器理論(Data – Based Controller Synthesis, DBCS)提供了一個快速設計控制器的方法，因為此方法是基於開迴路響應數據，而非需要透過繁雜的系統鑑別過程，才能得到的系統模式。然而，在以往的DBCS理論裡，所需的開迴路響應數據，必須是只有輸入命令所造成的響應。因此，若考慮在受控系統處於非靜止狀態時，開始擷取數據，則該數據中必包含了零輸入響應，吾人必須適當的改進DBCS理論。此外，在量測開迴路響應數據時，將無可避免摻雜了量測雜訊，此雜訊勢必會造成吾人使用DBCS的影響。本論文即是針對上述問題，探討數值化控制設計對零輸入響應及雜訊之處理，以便能拓廣數值化控制器的應用。

Data-Based Controller Synthesis (DBCS) is a very fast method to design controller. Because this method is based on open-loop test data even though a parameterized model is unknown. However, previous DBCS require that the data used in the controller synthesis contain no input-free response. Therefore, when we consider that the open-loop test data contain zero input response, DBCS must be modified. Besides, the open-loop test data is often corrupted with measurement noise. In this paper, we use DBCS for averaged data model to suppress noise.

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