Nonlinear PI Controller Design: A Neural Network Approach

1994華岡工程學報Computer Science被引 2

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-bused PI controller parameters during control, 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.

引用本文（GB/T 7714）

Wen‐Chih Chen, Cheng‐Liang Chen. Nonlinear PI Controller Design: A Neural Network Approach[J]. 華岡工程學報, 1994.

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DOI：https://doi.org/10.29987/ccuhkje.199405.0007

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