Multivariable Nonlinear Proportional-Integral-Derivative Decoupling Control Based on Recurrent Neural Networks，成果详细信息-中国科技论文在线

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Multivariable Nonlinear Proportional-Integral-Derivative Decoupling Control Based on Recurrent Neural Networks

陈增强， ZHANG Yana ， b ， ** ， CHEN Zengqiangb ， YANG Penga ， and YUAN Zhuzhib

Chnese J. Chem. Eng., 12(5)677-681(2004)，-0001，（）：

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摘要/描述

A nonlinear proportional-integral-derivative (PID) controller is constructed based on recurrent neural networks. In the control process of nonlinear multivariable systems, several nonlinear PID controllers have been adopted in parallel. Under the decoupling cost function, a decoupling control strategy is proposed. Then the stability condition of the controller is presented based on the Lyapunov theory. Simulation examples are given to show effectiveness of the proposed decoupling control.

关键词: process control, ， reaction engineering, ， neural network

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