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Neuro-fuzzy networks for process modelling and model-based control

机译:基于过程建模和模型控制的神经模糊网络

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The article describes the concept and performance of neuro fuzzy modelling and neuro fuzzy model based control. The technique has been applied to a highly nonlinear neutralisation process. It is shown that the neuro fuzzy model is easy to interpret and provides accurate predictions. The proposed neuro fuzzy model based control strategy utilises local incremental models which can naturally eliminate steady state offsets. It is shown that the neuro fuzzy model based controller gives much improved performance compared to that of a linear model based controller.
机译:本文介绍了神经模糊建模和基于神经模糊模型的控制的概念和性能。该技术已被应用于高度非线性中和过程。结果表明,神经模糊模型易于解释和提供准确的预测。所提出的基于神经模糊模型的控制策略利用本地增量模型,其自然可以消除稳态偏移。结果表明,与基于线性模型的控制器相比,基于神经模糊模型的控制器提供了很大改进的性能。

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