https://scholars.lib.ntu.edu.tw/handle/123456789/409714
Title: | Nonlinear PI controller design: a neural network approach | Authors: | Chen Wen-Chih Chen Cheng-Liang |
Issue Date: | 1995 | Journal Volume: | 26 | Journal Issue: | 2 | Start page/Pages: | 67-76 | Source: | Journal of the Chinese Institute of Chemical Engineers | Abstract: | 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 |
Appears in Collections: | 化學工程學系 |
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