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題名 | 植基於倒傳遞類神經網路的P控制器複製設計及其應用=Duplicate of Back-propagation Neural Network-based P Controller and Its Application on Temperature Control |
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作者 | 楊慶祥; |
期刊 | 南港高工學報 |
出版日期 | 20000500 |
卷期 | 18 2000.05[民89.05] |
頁次 | 頁121+123-138 |
分類號 | 448.942 |
語文 | chi |
關鍵詞 | 複製; 倒傳遞類神經網路; P控制器; 溫度控制; Duplicate; Back-propagation neural network; P controller; Temperature control; |
中文摘要 | 本研究提出以倒傳遞類神經網路為基,利用其具有的學習能力來複製P控制器,進而可以取代P控制器的地位進行控制。本研究以一階線性系統作為模擬之受控對象,並將此網路控制器實際運用於溫度控制系統上,以實際結果驗證此方法的可行性,並發現對於反應比較慢的受控體,只要利用上述方法先行複製它,再利用此網路控制器進行實驗,則可以省下很多實驗中所浪費掉的時間。因此如能好好的應用網路的學習能力,則對於複製的工作皆能實現。 |
英文摘要 | This study is based on "Back-propagation Neural Network", It is "the Network" that has the ability of learning for duplicating "P controller", further to replace the latter with the former for control. In the study, the object of imitation is "the first order linear system", and "the Network controller" is applied practically to temperature control system so as to prove the probability and to find the plant responded slower, It saves much more time in the process of experiment as long as we apply above the method. First, "P controller" is duplicated by "Back Propagation Neural Network". Then, using the Network controller tests it in process. Therefore, if we can thoroughly apply the Network's ability, we can realize the duplicate. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。