數據化的控制器設計(DBCS)，提供一個快速的方法，透過開迴路的響應數據，直接設計控制器，而不需要經過繁雜的系統鑑別過程，因此可以避免估測出的近似模式所存在的模式估測誤差。本論文將探討當系統存在初始響應時，且在未知系統模式之下，改良DBCS之控制器，以便達成期望的輸出。然而，在整個設計控制器的過程中，都是以系統響應數據來進行計算，而無可避免摻雜了量測雜訊，為了要降低雜訊對設計控制器所造成的影響，因此我們將提出一般性離散系統模式濾除器(GDSM)之方法，藉以對數據中的雜訊濾除後，再進行計算，以達成控制器設計之目標。

Data-Based Controller Synthesis(DBCS) provides a very fast method to design controller.Based on open-loop test data to design controller directly , and not need to estimate system model through the process of identification.Therefore,it can avoid the error of model estimation.In this paper,we consider that when open-loop contains nonzero initial response ,and how can we modify the DBCS controller under the unknown system model to arrive ideal output response.But in the entire process of designing controller,the data from system response must contain the noise,in order to reduce the affect that noise makes to design controller,we will apply GDSM method to solve this problem.

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