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題名 | Identification of Multiple Linear Models for Nonlinear Processes=以多重線性模式建立非線性程序模型 |
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作者姓名(中文) | 陳誠亮; 許碩恆; 林文貴; 王子奇; | 書刊名 | Journal of the Chinese Institute of Chemical Engineers |
卷期 | 31:3 2000.05[民89.05] |
頁次 | 頁283-293 |
分類號 | 460.02 |
關鍵詞 | 多重線性模式; 非線性程序模型; 非線性動態系統建模方法; Identification; Linear model; Nonlinear process; Fuzzy set; |
語文 | 英文(English) |
中文摘要 | 本文指在探討非線性動態系統之建模問題。所提出的方法,是依據可能操作範圍,以口語化方式區分為數個較小區域,於每一區或建立一個線性模式代表區域內之動態行為,再透過模糊理論方式連結此多動線性模式,即可建構一個能充分描述整體性非線性行為的程度動態模式。最後並以三個常見的化工程序—非等溫反應器、高純度蒸餾塔和酸鹼滴定程序做為多動線性模式識別之範例,說明所 提非線性動態系統建模方法之可行性。 |
英文摘要 | This work presents a nonlinear dynamic model based on several local linear models under different operating conditions. Response of the global nonlinear dynamic model is also derived by weighting the sum of all local linear model outputs. In addition, the fuzzy set theory is applied to account for the weighting factors for the local models. Also presented herein are two novel means of estimating the multiple linear models’ output: the parameter interpolation method and the output difference interpolation method. According to our results, these two methods are identical in terms of interpolating the difference of state vector, outputs, and inputs. Some major identification methods, e.g., linearization of the first-principle model, identification of linear local models, and least squares algorithm, are proposed. Several typical nonlinear processes are used to demonstrate the effectiveness of the multiple linear model identification. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。