基于经典神经网络和动态神经网络的非线性生物反应器装置辨识与控制

ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics Pub Date : 1997-07-07 DOI:10.1109/ISIE.1997.648914

M. Onder Efe, O. Kaynak

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引用次数: 4

摘要

在本研究中，采用三种不同的控制策略，即逆控制策略、自学习控制策略和用于非线性动态系统控制的动态神经单元，考虑了神经网络对生物反应器装置的辨识与控制。使用几种比较指标对这些方法的性能进行了比较。

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Identification and control of a nonlinear bioreactor plant using classical and dynamical neural networks

In this study, the identification and control of a bioreactor plant using neural networks is considered with three different control strategies, namely, inverse control strategy, self-learning control and dynamical neural units for control of nonlinear dynamical systems. The performance of these methods are compared using several comparison measures.

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ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics

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