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首页> 外文期刊>International journal of knowledge-based and intelligent engineering systems >An experimental study on inverse adaptive neural fuzzy control for nonlinear systems
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An experimental study on inverse adaptive neural fuzzy control for nonlinear systems

机译:非线性系统反应性神经模糊控制的实验研究

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摘要

In this paper, a type-2 fuzzy neural network is used to adaptive inverse control of a class of nonlinear systems. The proposed method has proper performance for real-time control of nonlinear and time-invariant systems and has a quick response to following changes. In this method, the high approximation ability of type 2 fuzzy systems is used to reverse system modeling and this inverse model is used immediately to control the system. In order to measure the efficiency of the proposed method, the control of dynamic, highly nonlinear and time varying water both temperature system with certain and uncertain water pressure is experimentally considered. The results show the accuracy of the proposed method.
机译:在本文中,2型模糊神经网络用于自适应一类非线性系统的逆控制。该方法具有适当的性能,用于实时控制非线性和时间不变系统,并且对以下更改具有快速响应。在该方法中,2型模糊系统的高近似能力用于反向系统建模,并立即使用该逆模型来控制系统。为了测量所提出的方法的效率,实验考虑了具有特定和不确定水压的动态,高度非线性和时变水的动态,高度非线性和时变水的控制。结果表明了所提出的方法的准确性。

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