https://scholars.lib.ntu.edu.tw/handle/123456789/409714
標題: | Nonlinear PI controller design: a neural network approach | 作者: | Chen Wen-Chih Chen Cheng-Liang |
公開日期: | 1995 | 卷: | 26 | 期: | 2 | 起(迄)頁: | 67-76 | 來源出版物: | Journal of the Chinese Institute of Chemical Engineers | 摘要: | This article uses a hierarchical, multilayered neural network to provide parameters for a nonlinear PI controller in response to local operating conditions. The Generalized Delta Rule is adopted for use in training the connective weights of the network for subsequent on-line variation of the network-based PI controller parameters during control. Several numerical examples and one example of a highly nonlinear neutralization process are supplied to demonstrate the superior servo as well as regulatory control performance of the proposed neural net-based nonlinear PI control system. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/409714 | ISSN: | 03681653 |
顯示於: | 化學工程學系 |
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