頁籤選單縮合
題 名 | Model Set Identification in Frequency-Domain and Its Application to Joint Design with Robust Control |
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作 者 | Fukushima,Hiroaki; Sugie,Toshiharu; | 書刊名 | Asian Journal of Control |
卷 期 | 1:2 1999.06[民88.06] |
頁 次 | 頁66-74 |
分類號 | 448.942 |
關鍵詞 | System identification; Robust control; Model validation; Spectral analysis; |
語 文 | 英文(English) |
英文摘要 | In this paper, we propose a new model set identification method for robust control, which determines both nominal models and uncertainty bounds in frequency-domain using periodgrams obtained from experimental data. This method also gives less conservative model sets when we have more experimental data, which is one of the distinguished features compared with the existing model set identification methods. To this end, first, we construct a new noise model set in terms of periodgrams, which consists of hard-bounded (or deterministic) noises but takes account of a low correlation property of noise signals, simultaneously. Then, based on the noise model, we show how to compute the nominal models and the upper bounds of modeling error via convex optimization, which minimize given cost functions. Furthermore, by introducing a weighting function compatible with control performance criterion into the identification cost function, we consider a joint design method of the proposed model set identification and H∞ control. Numerical examples show the effectiveness of the proposed method. |
本系統中英文摘要資訊取自各篇刊載內容。